phd in management sciences in germany

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Management Concentration

This concentration is one of the three concentrations offered in  Frankfurt School's Doctoral Programme.

We are among the very few European business schools conducting top-level scientific research and training doctorates in English. Joining the Management track enables you to study cognitive and behavioural processes shaping the decisions of managers, entrepreneurs, employees and customers as well as the external and internal drivers of organisational design, strategy and performance in fast-changing, globalised markets.

Choosing life as a management scholar is an ambitious but rewarding career choice. If you join our five-year doctoral programme, you will be expected to get your bearings through a number of theory and method courses before moving on to produce research of international scientific standard.

Programme Structure

A prototypical path through our programme would have you brush up on statistical inference, qualitative induction, or machine learning, immerse yourself in the theory of the firm or decision making, beef up your knowledge of your chosen specialist area with internal and external courses, learn-by-doing on research projects with faculty members, craft and execute an original thesis, present and publish ongoing work at conferences and journals, go on an overseas visit to engage with leaders in your field, hone your teaching skills and prepare for the institutional demands of entering the professorial job market.

Each field of research specialisation deserves a slightly modified version of the above. To get you started, you will have approximately two years’ worth of courses, beginning with the standard courses required for all Frankfurt School doctoral students. These will be complemented with the specific management courses. During the course period, you can start exploring research projects with Frankfurt School faculty. The idea is to thus identify an advisory team for the later, research stage of the programme.

Management research at Frankfurt School is to move the research frontier, be it through theoretical or empirical contributions. We pride ourselves on making meaningful additions to knowledge by tackling hard problems with novel approaches. To equip students with the foundation needed to join us in this scientific endeavour, we deliver the in-house courses listed below and additionally ask students to partake in specialised courses outside Frankfurt School. This is to ensure that students get exactly the content needed for their individual research foci:

Mathematics & Statistics

Calculus of Several Variables Functions of Several Variables Implicit Functions and Their Derivatives Quadratic Forms and Definite Matrices Unconstrained Optimization Constrained Optimization Concave and Quasiconcave Functions Economic Applications Eigenvalues and Eigenvectors Advanced Linear Algebra Advanced Analysis Basic Probability and Statistics

Econometrics I

The class provides key knowledge on how different econometric models work and most importantly sheds light on their limitations. The course also provides step by step application of new tools to different data sets in the computer lab. You will be asked to replicate and in some cases improve, prior empirical studies.

Microeconomics

1. Demand Theory 2. Expected Utility Theory 3. General Equilibrium Theory 4. Non-Cooperative Game Theory a) Dominant strategies and applications b) Nash Equilibrium and applications c) Subgame Perfect Equilibrium and applications 5. Principal-Agent Theory 6. The Theory of Incomplete Contracts

Field Experiments

Coming soon

Students can choose up to three elective courses suitable for their chosen area of specialisation. These can be offered by Frankfurt School but often are found at other research universities. The faculty and the programme office help the student identify appropriate courses.

Econometrics II

Game Theory

The course aims to familiarise students with the basic concepts of game theory. Students learn different classes of games and a variety of solution concepts to predict strategic behaviour in these games. They will learn how to capture practically relevant situations in a game and the necessary tools to solve these games.

Causal Inference

Computational Statistics

Industrial Organization

Advanced Topics in Management

The course covers a variety of methodological concerns, topic include: Philosophy of science, experimental design, case study methodologies, problems with and alternatives to traditional model fitting approaches, replication and prediction, data management.

Multivariate Statistics

Students can choose up to three elective courses suitable for their chosen area of specialisation. These can be offered by Frankfurt School but often are found at other research universities. The faculty and the programme office help you to identify appropriate courses.

PhD Brownbag

Master's Thesis / 2nd year paper

The second year paper is the first piece of the student’s very own presentable research work. It can also be used to obtain a Master’s degree in Business Research and Analytics.

Research (Dissertation and Defence)

Upon passing the Qualifying Exam at the end of the 2 nd year, students enter the research phase of the programme. Students dedicate themselves to their research projects, produce scholarly papers and present their research at international academic conferences. They also have the opportunity to interact with international scholars visiting Frankfurt School to present research in the seminar series.

Seminars & Conferences

Research is a social process. Your Frankfurt School experience includes opportunities to both solicit feedback on your own research as well as learn from others’ ongoing research. The former you can do by presenting early drafts of your ideas and papers at the department’s brownbag seminar series, where colleagues provide a friendly environment for improvement. Besides informal chats with the faculty and your peers, the department’s annual summer school provides an additional intensive event for discussing research. To learn about and discuss current research conducted at other universities, a regular seminar series and occasional conferences with outside speakers provides ample possibilities for interaction with the field. You can find the upcoming management seminars in the below table.

Recent management conferences at FS include:

FS Marketing Research Camp

PROGIC : Workshop on Combining Probability and Logic

SMS : Strategic Management Society Frankfurt Special Conference

Research projects at FS

We are currently looking for highly motivated researchers interested in our research projects in marketing, strategy and organizational behaviour.

Strategic Decision Making of CEOs, TMTs, and BRDs

The goal of our research is to gain a greater understanding of how social and behavioural forces affect human actors at the top of the organisation. We do that by studying the contexts of strategic decision making by CEOs, top management teams, and boards of directors. Our research has an impact through the development and testing of new theoretical insights in top journals, and also by disseminating those insights through articles geared towards a lay audience.

Prof. Dr. Markus Fitza

Prof. Dr. Stevo Pavicevic

Microfoundations of Scaling: Implications for Strategy and Organization Design

The goal of this project is to develop a novel research agenda that investigates the microfoundations of scaling in firms, including the properties of organizations that give rise to scaling laws, as well as the implications of scaling laws for strategy and organization design. Today, the most valuable companies in the world employ a significant share of digital resources, such as software, algorithms, and data.  The greater scalability of firms’ digital resources is fundamentally changing the nature of competition and the basis of competitive advantage.  Yet, we are only beginning to understand the underlying forces that determine scaling and its implications for strategy and organization design.  What organizational challenges must be met to achieve success in the age of scaling?  What strategies are (not) effective in the age of scaling?  Are you excited about the opportunity to contribute research that addresses these questions?

Prof. Dr. Thorbjørn Knudsen

Prof. Dr. Lucas Böttcher

Consumer Information Processing

From the perspective of marketers it is very important to be able to predict and influence consumer choice. We study the relationship between cognitive and motor processes in consumer decision making/choice using eye and mouse tracking technologies. Our goal is to predict and influence choice. For example, we ask in the context of asking consumers to donate to a cause, in an online environment, would the design of the webpage and the physical location of the cursor (mouse) impact willingness to donate?

Prof. Dr. Selin Atalay

Prof. Dr. Florian Ellsäßer

Customer Reviews in the Context of Products with Short Life Cycles

Reviews are important for consumers, manufacturers, brands, and retailers for various reasons. The review history of a product has a strong effect on the success of the product on the market. It reduces uncertainty about product quality and fit and can therefore stimulate a purchase or help to avoid costly product returns. A rich product review history has proven to be very powerful, especially in market places with large product assortments. In the context of products with short life cycles, such as products in the fashion industry, accumulation of product reviews pose a substantial challenge as products’ life span is very limited. We are interested in how the fashion industry (and other industries with products with short life cycles) can address this problem. The topic is crucially important from the perspective of brand reputation building.

Prof. Dr. Alexander Bleier

Prof. Dr. Siham El Kihal

Prof. Dr. Tetyana Kosyakova

Experimental Organization Science

The goal of this project is to examine behavioural patterns of judgement and decision making at the group level, including dynamics arising from temporal or hierarchical structures. An example topic is the aggregation of individual decisions under uncertainty into organisational resource allocation and outcomes. Few lab studies examine behaviour at the organisational level, and organisation science comprises few experimental studies. Yet, properly understanding firms requires research on the level above the individual, and below that of markets. To isolate mechanisms operating at that level, experimental methodologies have few rivals. In theory. In practice, organisation-level lab work requires special care. If you want to contribute to a fledgling movement on experimental organisation science, we would love to hear from you.

Prof. Dr. Ronald Klingebiel

Prof. Dr. Mirko Kremer

Constructing and Evaluating R&D Portfolios

The goal of this project is to understand the theoretical and behavioral issues when building R&D portfolios, and to develop  novel methods and tools to evaluate the quality of an R&D portfolio

For R&D- and innovation-driven organizations, long-term success critically hinges on those firms’ ability to build impactful R&D portfolios. However, constructing an R&D portfolio—that is, selecting which innovation projects (not) to pursue—is a daunting challenge: In the early stages of such innovation projects, uncertainty dominates, and it is hence hard to predict, ex ante, which projects will be the best choice ex post. In addition, firms can rarely predict, with sufficient precision, the interaction effects between the different projects in their R&D portfolio. So, what is the best way to build an R&D portfolio? Which biases do managers introduce to that decision process? And how can we evaluate, ex post, how well an R&D portfolio was constructed? Are you excited about the opportunity to contribute research that addresses these questions? Join us!

Prof. Dr. Jochen Schlapp

Sample Publications

Frankfurt School publishes in the top outlets for management research. To get a sense for the kind of research we conduct, please click on the following sample publications:

Management Faculty

Strategy & organisation area, data & decision analysis area, technology & operations area, marketing area, student funding and scholarships.

Frankfurt School offers fully-funded study places for the doctoral programme in order to attract and support the brightest minds in academia.

Students are expected to devote 100% of their working time to their doctoral studies at Frankfurt School for up to five years.

Funding includes a tuition fee waiver and a cost-of-living stipend. The monthly stipend comprises of EUR 1,820.

The stipend will be granted for five years conditional on the continued satisfaction of all academic programme requirements.

From the first year onwards doctoral students will receive EUR 1,820 for the period of 5 years.

Furthermore Frankfurt School covers costs related to research, including conferences and overseas visits.

Application process

1. target group.

Outstanding graduates of a Bachelor‘s or Master’s programme in business administration, finance, management, accounting or related fields who aspire to launch an academic career.

Candidates in the final year of a Master’s or Bachelor’s programme are welcome to apply with their most recent academic transcript. Please note that the degree has to be completed by the time of the beginning of the programme.

2. Online Application

The first step of our application process is to complete the online application form. You will need to upload the following required documents. Please note that you need a certified English or German translation for all documents, that are not originally in German or English. The application platform will be open between 15th September and 15th January.

Required Documents

• CV and list of publications (if existent)
• Certified copy of your University Entrance Qualification (Abitur, A-levels or equivalent)
• Certified copy of your University Degree Certificate or equivalent and academic transcript of records
• Official GMAT or GRE results
• Proof of English Language Proficiency Test (TOEFL IBT min. score of 100/IELTS min. score of 7.0)
• Statement of Purpose (up to 2 pages): Why are you interested in your chosen field of study? What are the potential areas of research you might pursue? Have you completed any research projects with faculty? Is the research of any member of the FS faculty of interest to you?
• Optional Statement: If you would like the committee to consider any of the following factors, you can describe their relevance in a separate statement within the application. This can contribute to the diversity of the entering class: background, extracurricular activities, work experience.

Two letters of recommendation: To request the letters from your recommenders, you have to register on a separate platform and send your request from there.

Please click on this link to access the platform: http://apply.interfolio.com/79802

Create a profile by clicking on the button “Apply now”.

If you require assistance, go to the “Home” tab and click the “Dossier Quick Start Guide”.

Once you send your request to your potential recommender, they will receive an e-mail together with a link where they can upload their recommendation letter confidentially. Please provide a deadline for your recommendation letter to ensure we receive it on time. Once the recommender has uploaded the letter, we will be notified and will be able to access it.

3. Interview

Successful applicants will be invited to a online interview with faculty members of the chosen concentration.

The final decision regarding admission to our doctoral programme will be made by the Committee for Doctoral Proceedings. It is based on the applicants overall portfolio and the interview.

Isabeau Köhncke Recruitment Officer

Lianna Mirzoyan Recruitment & Admissions Manager

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Doctorate at HHL

Overview doctoral program.

• Dr. rer. oec.

Program Length

Program start.

• Rolling admission, no application deadline

Admission Criteria

• Master’s degree in business or economics (or related field) with the final grade of a 2.5 or better
• Letter of acceptance from an HHL professor, following a personal interview regarding your research project
• Research proposal
• Letter of motivation

Tuition Fees (from Jan 01, 2024)

• Study fee EUR 19,800, including:
• Enrollment fee EUR 2,500 (waiver for HHL alumni)
• Examination fee EUR 1,000 (waivers possible)

Accreditation

• Doctoral AACSB
• 25-35 new doctoral students/year
• Average age: 31
• > 350 doctoral graduates (1998-2023)

Core Modules

• Philosophical Underpinnings of Economic and Management Research
• Economic Analysis & Policy

Elective Modules

• Econometrics/Methods of Multivariate Statistics
• Qualitative Data Analysis
• Scientific Writing & Publishing
• Structural Equation Models
• Time Series Models/Panel Data Models (elective courses are examples only)

Course Format

• Online or hybrid

Program Structure

Hhl’s doctoral program focuses on your research project.

The Doctoral Program of HHL is designed on a part-time basis and is particularly of interest to research oriented candidates, seeking to combine their job with a postgraduate degree. It includes coursework in the form of lectures and seminars, independent research and participation in doctoral forums, research colloquia, summer schools and conferences.

Program structure

As a rule, HHL’s Doctoral Program takes three years. Doctoral candidates have the flexibility to arrange the coursework according to their individual schedule. All seminars take place in an online or hybrid format.

Course overview

We are offering a rolling admission, which allows you to start the Doctoral Program in your preferred term. Admission to the Doctoral Program at HHL is highly competitive and the participation in such a program in Germany differs from an American Ph.D. or a DBA program: It requires that the candidate finds a professor to supervise his or her doctoral thesis and a research proposal has to be submitted.

Application Documents

Please  apply online  with the following documents, which will then be assessed by HHL’s Doctoral Committee:

• Confirmation of supervision from an HHL supervisor (letter of acceptance)
• Final transcript and a degree certificate of all completed degree programs (at least one of them has to be a Master’s degree in Economics or Business Administration with a final grade which is equivalent of the German grade “good”)
• Curriculum vitae
• Research proposal* **

* These documents can be handed in during the admission process. ** You find an overview of the research topics of our faculty below.

The admission requirements can also be found in the  Doctoral Statutes  (in German).

Application Process

• Step 1 : Check whether you fulfill the formal admission criteria: a Master’s degree in Economics or Business Administration with a final grade which is equivalent of the German grade “good” .
• Step 2 : Define your research topic (and begin to write your research proposal) .
• Step 3 : Identify and contact potential supervisors from the HHL faculty according to your research topic.*
• Step 4 : Write the research proposal in accordance with your potential supervisor.
• Step 5 : If you obtain a confirmation of supervision, apply online , selecting your supervisor.
• Step 6 : The Doctoral Committee evaluates your application .
• Step 7 : You will be informed by the Admissions Officer about the final decision of the Doctoral Committee via email.
• Step 8 : You receive the official admission documents and you get enrolled in the program.

If you have any questions or doubts regarding the doctoral program, contact us: [email protected]

Career Perspectives

With new competencies to challenging positions.

A doctoral degree from HHL enables you to choose from quite a variety of career options.

Depending on your own preferences you may either seize a next-level job opportunity with a company, even set up your own business, or –  if you like teaching and research – pursue an academic career. At HHL you may also habilitate and thus further indulge in research. In the last 22 years almost 300 students have obtained their doctoral degree from HHL. More than 30 of these postgraduates now work as professors at universities or at universities of applied sciences.

HHL Alumni in Academia

The magic word is “Balance“!  As an academic with consulting experience too, HHL’s doctoral program was the perfect fit for going through a well-thought plan of connecting academia with the industry, and showing the outcome of that in my thesis. As a foreigner with originally a British education, HHL provided the amazing educational environment, exposure to connections and events, as well as being taught by experienced professors. After graduation from HHL, I was offered multiple jobs in academia and in the industry. I am currently the Associate Dean of a reputable British University and I take over consulting projects as well. If time goes back, I definitely wouldn’t have picked anywhere else!

HHL provided me with the perfect framework for my doctorate. In addition to research at the chair of Professor Torsten Wulf, I was able to develop new methods for strategic planning in a practice-oriented way by working at the Center for Strategy and Scenario Planning together with Roland Berger: For me, the perfect balance of research, practice and teaching.

Since my studies in one of the first classes after the re-establishment of HHL, I have been very attached to HHL and very grateful for the excellent academic education and the great network. When, 12 years after my graduation and a career in brand management at Unilever and McCain, I decided to pursue a professorship at an HAW and still needed a doctorate, HHL was my first choice and in Prof. Vilks I found a doctoral supervisor to whom I am very grateful for his supervision and support during my external doctorate. Last but not least, the Leipzig location is a real competitive advantage, as are the service-oriented employees.

When I joined HHL as a research associate at the Chair of Strategy and Organization in 1995 HHL’s doctoral program was about to start. What I learned at our Chair is the unsubstitu­table basis for my whole academic ... read more career. In addition, a course program oriented towards international scientific standards was established step by step. As a highlight, Arnis Vilks’ course Philosophy of Science opened up topics for me which I profit from almost on a daily basis. Thus, HHL’s doctoral program embedded in a wide and fruitful international network became and still is what I call: my academic home. 1997: Completion of doctoral studies at HHL ( Chair of Strategic Management and Organization ) 2001-2002: Assistant Professor, Boston University 2002-2015: University Professor, WHU – Otto Beisheim School of Management

After my graduate studies at HHL I decided to join HHL’s doctoral program as a research associate at the Chair of Financial Management to continue working in the vibrant environment of academic excellence, ... read more innovation and business impact. I especially liked to develop and hold courses for the highly motivated and committed HHL students. These teaching experiences but also the research and project work prepared me well both for my former job as management consultant with BCG and for my current job as Professor of Finance. since 2019: University President of TH Brandenburg, University of Applied Sciences, Brandenburg, Germany since 2012: Professor of Business Administration, esp. Finance, TH Brandenburg University of Applied Sciences, Brandenburg, Germany 2009-2012: Consultant with BCG The Boston Consulting Group 2008: Completion of doctoral studies at HHL ( Chair of Financial Management )

Further graduates of HHL’s doctoral program work as professors at Hamburg University of Applied Sciences (HAW), Leipzig University of Applied Sciences (HTWK), KIT Karlsruhe Institute of Technology, IMD International Institute for Management Development (Switzerland), Philipps-Universität Marburg, University Duisburg-Essen, University of Bonn, University of Mannheim and at the University of Passau.

HHL Alumni in Companies

The Doctoral Program at HHL Leipzig Graduate School of Management was not only an outstanding academic experience for me, but also a time in which I built a strong (international) network. I had the opportunity to participate in various academic conferences in Germany and abroad and to present the research work of the Chair. The cross-chair collaborations with my peers and professors not only significantly influenced my professional development, but also my personal growth and have developed into lifelong friendships. The valuable network I built at HHL has been instrumental in preparing me for a successful start as a strategy consultant at Roland Berger.

After my graduate studies HHL’s doctoral program provided me with a unique opportunity to pursue my research interests and closely work together with outstanding supervisors as well as fellow researchers. Supervisors, faculty and fellow researchers at HHL were always available for help or advice on an idea I wanted to develop, a paper I had a hard time writing, or my dissertation that needed to be done well.

Further doctoral alumni work with SAP, EY – Ernst and Young, The Boston Consulting Group, PriceWaterhouseCoopers, Otis, Roland Berger, Vodafone, Miele, BMW Group.

HHL Alumni Leading Their Own Business

After completing my Master of Science at HHL, I returned to my hometown in 2014 to complete my doctorate. As a research assistant at the Marketing Management Chair of Prof. Dr. Manfred Kirchgeorg, I supported practical projects as well as teaching courses. Looking back, I particularly appreciate the value of the well-founded way of working during my doctoral studies – a competence that has proven extremely helpful in my role as founder and CEO of two companies. Of course, I also benefit from HHL’s large network. I am proud of my academic journey at the “Gründerschmiede” and always look forward to an opportunity to return to my alma mater.

Career Development

The HHL Career Development guides you on your way to start a new employment or to develop on the job. The career support does not end once your aim is reached – you may contact the team of HHL’s career service also in later stages of your life.

• CV and Cover letter checks
• Personal career coaching
• Mock interviews
• Experienced hire job newsletter
• Company and HHL alumni contacts
• Salary information (and advice on negotiations)

Also the wide network of  HHL alumni  can prove to be a door opener to the targeted position. The HHL alumni are an active, international community offering lots of possibilities for networking.

Research Topics

Make an impact with your doctoral project.

At HHL, more than 20 chairs and centers work on a comprehensive range of research topics in the fields of business and economics. The research questions are often interdisciplinary and cross-sectoral, i.e. they combine economics issues with knowledge from e.g. ethics, psychology, health or law.

HHL researchers present their findings at international colloquia and conferences and publish the results in numerous journal articles and monographic dissertations. Latest topics dealt with at HHL were e.g. moral risk management, communicative leadership ethics, employee involvement in open innovation, current conceptual and empirical issues in group reporting under IFRS, service productivity, sustainability in supply chain networks or the perception of family firm brands.

The work of our researchers is greatly acknowledged by the research community. In 2013, Nagwan Abu El-Ella received the ISPIM Award for the “Best Paper on practical implications for technology”. In 2015, HHL doctoral candidate Christian Comberg together with co-authors received the ISPIM “That’s Interesting!” Research Award for their research paper titled “The Design Logic for Business Model Innovation in Sharing Economies”. Each year, HHL honors one of the doctoral candidates for excellent research with the HHL Research Award.

Which research area would you like to explore further? Check also the chairs’ pages for their focus and current projects.

A worthwhile investment

From Jan 01, 2024, the tuition fee amounts to EUR 19,800 for the entire program (including an enrollment fee of EUR 2,500 and an examination fee of EUR 1,000; the enrollment fee will be waived for HHL alumni), which is to be paid in three installments at the beginning of the first, second and third academic year. The tuition fees for the Doctoral Program are tax deductible as anticipated professional expenses. Get first tips by reading the  brochure “Steuertipps”  (in German). For detailed information please contact your legal tax advisor.

Scholarships

Seize funding opportunities.

Would you like to concentrate on your research only and attend HHL’s doctoral program without working? Then you may apply for a scholarship to cover the tuition fees (and/or living expenses). If you are interested in a research project on ethics, supervised by Prof. Dr. Andreas Suchanek , you might be interested in the scholarships of the Wittenberg Center for Global Ethics (WCGE) which are offered annually. There are plenty of scholarship options from other foundations for German and for international students. The following list gives you starting points for your scholarship search:

• Scholarship tips from the German Association of University Professors and Lecturers (in German)
• Funding opportunities recommended by the German Academic Exchange Service
• Stipendienlotse (in German)

WCGE Scholarships “Ethics and Responsible Leadership in Business"

As a result of the generous support on behalf of the Karl Schlecht Foundation, a doctoral program was established in cooperation between the Wittenberg Centre for Global Ethics (WCGE) and the Leadership Excellence Institute Zeppelin (LEIZ) in Spring 2014. The program also includes a societal dialogue platform whereby the expertise of leading business ethicists, the experience of multi-national corporations and the individual perspectives of various different societal actors and organisations are brought together in the form of various different events and publications. The HHL is one of the associated academic institutions and is represented by Prof. Dr. Andreas Suchanek as one of the supervising professors. The program is open to outstanding doctoral students whose research interests address the field of responsible leadership in business in a global context. The goal is that students not only gain a qualification in their specific area of research but also, that they understand the broader theoretical and sociopolitical framework of their research activities.

Six Doctoral scholarships are offered annually to gifted students. The scholarship finances the students’ cost of living for the duration of the three year program. The associated study program includes 6 mandatory courses, 2 electives and 2 field projects via which the students test their theoretical knowledge and ideas in a practical context. Current students’ research topics span several aspects of economic and business ethics such as Behavioural Business Ethics, whereby insights from behavioural research and psychology are applied to business ethics issues, and Human Rights Due Diligence, which involves investigating how companies can guarantee that no human rights violations occur throughout their entire supply chain.

• Doctoral Program "Ethics and Responsible Leadership in Business"

Individual Support

We are there for you.

Look forward to experiencing HHL as an institution with a truly personal atmosphere. As one of 30-40 students each year you will not only receive reliable and individual support from your supervisor and your fellow researchers but also from our administrative staff.

The Department of Student Affairs will guide you through your doctoral studies. Starting with showing you the HHL Campus and providing information about Leipzig, Mariah Littley will support you in managing your course plan and complying with the study regulations up to the final disputation. The HHL Library is well equipped and ready to help you with your research projects, providing not only comprehensive digital resources, but also individual consultations. The IT team organizes IT introduction sessions and can be approached with all IT-related questions. HHL’s Career Development offers individual and strategic guidance on your career development not only during your doctoral studies but also after graduation from HHL.

The intranet of HHL provides information on all HHL departments and its services, and also the HHL faculty. It serves as a communication tool and makes it easy for you to feel as a part of the HHL community and to easily reach the right persons for your questions.

At the Dr. Werner Jackstädt Chair of Economic and Business Ethics we attach great importance to the intensive exchange between our doctoral students. During a two-day seminar which takes place twice ... read more a year the doctoral candidates meet to discuss their current findings but also fundamental texts and topics. One of these seminars is also open to our doctoral alumni giving them the possibility to update their knowledge in the field of business ethics. On the other hand, current students may receive valuable advice and stimulation for their doctoral research from those who successfully completed the doctoral program at HHL. Apart from that we host a monthly telephone meeting each of which is lead by another doctoral student. The idea is to focus on a special aspect of his/her thesis and to present it to the others in an easily accessible way. Thus, we foster something that is essential to every doctoral student (and unfortunately too often neglected): the discussion of one’s own research with others.

Every doctoral student gets a welcome email from us with information on all services we provide. We support the students with research information sessions, which can also be arranged as an online meeting. ... read more These sessions are often very individual, due to the low student numbers. Especially useful for doctoral students is our free Citavi campus license that enables the effective management of collected references.

The HHL Career Service team responds individually and at the same time systematically to all your questions relating to your job entry and your further career development. Each biography unfolds an ... read more own story covering a variety of interests, likings, values and skills. We are very happy about the successful careers of many of our doctoral graduates and are pleased to still receive the latest news about their current business from them even beyond graduation.

A worldwide network as a source of inspiration and innovation

As a doctoral student at HHL you will be a member of a multi-faceted network. HHL as an institution as well as the chairs and centers maintain relations to partners from business, research and academia in Germany and abroad. They are a source for support and exchange. The close contact to external partners offers possibilities for joint research and transfer projects.

The HHL network comprises regional partners such as the local Leipzig University and the Leipzig Foundation for Innovation and Technology Transfer and stretches over renowned German research institutions like the KIT and Hasso Plattner Institute to the world’s top research institutions such as the Harvard Business School and the Massachusetts Institute of Technology (MIT). The HHL community itself is a strong network. The SVI-Endowed Chair for Marketing, for instance, unites all current and former doctoral students in the Academic Marketing Association which offers regular meetings for mutual exchange. You will experience HHL’s close ties to its alumni in various ways. We are looking forward to your commitment to further develop and shape the HHL network.

International Partners

• Harvard Business School, Boston, Mass., U.S.
• Massachusetts Institute of Technology (MIT), Cambridge, Mass., U.S.
• Stern School of Business, New York, U.S.
• University of Exeter Business School, UK
• European Academy of Management
• European Health Management Association
• European Council for Small Business and Entrepreneurship (ESCB)
• Kozminski University, Warsaw, Poland

Partners in Germany

• Karlsruhe Institute of Technology (KIT)
• Hasso Plattner Institute, Potsdam
• Wittenberg Center for Global Ethics
• Fraunhofer Center for International Management and Knowledge Economy, Leipzig
• Leipzig University
• Leipzig University of Applied Sciences (HTWK)
• Leipzig Foundation for Innovation and Technology Transfer
• SMILE Initiative
• SpinLab – The HHL Accelerator, Leipzig
• Translational Center for Regenerative Medicine, Leipzig

Doctoral Theses

The list below gives an overview about all doctoral theses published by HHL doctoral graduates. If you are interested in further publications by the HHL faculty or if you would like to search for a special topic, please start your search on the HHL Publications web page.

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Doctoral Course Program

Find all doctoral courses of the Graduate Center of TUM School of Management as well as further information on doctoral course requirements in general and the process of recognizing courses from other institutions here.

• All doctoral candidates who entered the list of doctoral candidates after January 1, 2014, have to successfully complete 10 SWS (weekly semester hours) of doctoral courses in methods and/or theory of their field. Courses offered by the Graduate Center of TUM School of Management are on doctoral level, comprise at least 2 SWS (21 hours class time) and minimum 3 ECTS workload per course. As a result, all doctoral candidates have to complete at least 5 courses. The recognition of external courses that do not differ significantly from those of the Graduate Center of Management with regard to the level of competence and workload is possible upon application to the Graduate Center. If you plan to take an external course, please make sure to contact us well in advance.
• The registration for our doctoral courses is binding. Please deregister if you are unable to participate after all.
• If not indicated differently, all doctoral courses are taught in English.
• After successful completion of a course, please enter the course and all necessary details in DocGS.
• If you have any suggestions for the course program of the Graduate Center of the TUM School of Management, we would be pleased to receive an email from you.

Summer term 2024

Econometrics ii: causal inference.

Participants will be assessed based on their seminar presentation (60%), homework assignments (20%), and oral contributions to the course (20%).

• Seminar presentations will be held by groups of two. Each group will present one method of addressing the problem of causal inference (e.g., RDD). The presentation of 120 min to 150 min shall introduce and explain the respective method as well as applications. Presenters will suggest an article in which this method is applied. The group will bring a dataset with which participants will apply the respective method during the course. The lecturer will meet with each group beforehand to aid in the preparation.
• Homework assignment. For some of the methods that we discuss in the course participants will do a homework assignment that consists of applying the method to a dataset, presenting the results, and providing an interpretation (in writing).
• Oral contributions. It is expected that participants prepare the readings for each session and are able to reflect on them. In addition, they shall actively take part in the discussion of the seminar presentations.

The course is pass/fail, not graded. In order to pass the course, participants must take part in all classes. In case of excused absence due to illness they need to hand in a written assignment about the content of the class they have missed.

Syllabus :  Econometrics II: Causal Inference

Registration:  Until April 17, 2024, via Moodle.

Lecturer:  Prof. Dr. Joachim Henkel (TUM)

Course dates:   Kick-off Friday April 19, 2024, 2:00 pm – 4:30 pm in person (room will be announced). The course will be taught as a series of seven half-day seminars in June and July, either in the morning or on the afternoon. Dates will be coordinated with participants. The course is planned to be held in person.

Location : Campus Munich - The course is planned to be held in person (room will be announced).

Financial Market Regulation in South Africa as Gateway to Investment in Africa: The Fundamentales of Private Equity Funds and Investing in South Africa

The course aims to highlight three(3) key areas of private equity investing, namely:

1. The formation and structure of private equity funds and the key characteristics related thereto within the South African regulatory environment; 2. The importance of corporate governance and fiduciary law as it pertains to the private equity business model; and 3. Current trends and policy considerations that impacts private equity industry.

At the end of the module students should be able to understand the South African Financial Regulation environment and also where private equity fits into this system. Students should also be able to understand which legal forms are ideal to structure funds as well as the duties on fund managers in South Africa.

Syllabus :  Financial Market Regulation in South Africa as Gateway to Investment in Africa: The Fundameltals of Private Equity Funds and Investing in South Africa

Registration: Plese send an email to:  [email protected]

Lecturer:  Prof. Richard Stevens, LL.M. (University of Stellenbosch)

Course dates: 

- The course will commence on Tuesday 11 June 2024. - The course consists of a total of 24 hours of direct class interaction, which will be split over six (6) classes. - The dates of the six(6) classes will be:

• Lecture 1: 11 June 2024 (9h00 – 13h00)
• Lecture 2: 12 June 2024 (9h00 – 13h00)
• Lecture 3: 13 June 2024 (9h00 – 13h00)
• Lecture 4: 2 July 2024 (9h00 – 13h00)
• Lecture 5: 3 July 2024 (9h00 – 13h00)
• Lecture 6: 4 July 2024 (9h00 – 13h00)

Location : Campus Munich (0503.01.355) - The course is planned to be held in person.

Innovative Technologies in Management Research

This course will give doctoral students a broad overview of the state-of-the-art technologies and methods (e.g., virtual reality, virtual humans, vocal transformation, AI) used in management research. At the end of this course, participants will be familiar with the different methods and tools available for conducting research. We will discuss the benefits of using technologies, and the potential technical difficulties and drawbacks that might be encountered along the way, and how to solve them.

In this course, you will have the opportunity to not only to develop an understanding of existing methods, but also to develop and work on a concrete research project involving an innovative technology. To this end, students will be asked to develop a short research proposal and a final presentation showcasing their work on the project.

Syllabus :  Innovative Technologies in Management Research

Registration:  By email to [email protected] (Dr. Anely Bekbergenova) until April 1st. Participants will be admitted on a first come, first served basis. In your email please include (1) your doctoral research topics, (2) a potential research question you would like to explore using innovative technology.

Lecturer:  Dr. Anely Bekbergenova and Prof. Dr. Claudia Peus (TUM)

Course dates:  

Monday, 01.04.2024 – 23:59 – Registration deadline Wednesday, 10.04.2024 – 9:00 – 17:00 – Presentation by instructor Thursday, 10.04.2024 – 9:00 – 17:00 – Presentation by instructor & group/individual work Wednesday, 17.04.2024 – 9:00 – 17:00 - Presentation Day by participants & feedback Wednesday, 1.05.2024 – 23:59 – Research proposal deadline

Location : Campus Munich - The course will be held in person at the TUM main campus in Munich (Arcisstr. 21, Building 0505, Room Z577)

Introduction to Experimental Economics

This course is for researchers on the doctoral or post-doctoral levels who are beginners in economic laboratory experiments. It will enable you to

• decide whether a laboratory experiment is appropriate to address some research question;
• find research questions in your area of interest that a laboratory experiment can address;
• develop an experimental design to address such a research question.

In addition, the course will offer you hands-on training on how to bring experiments to the laboratory. It will cover common practical issues, such as which software to use, how to recruit participants, or how to conduct an experiment.

The course will be most beneficial for you if you plan to run your own experiment soon. It will be particularly helpful for you if you consider using experimenTUM, TUM’s laboratory for experimental research in economics.

Syllabus :  Introduction to Experimental Economics

Registration: 

Write to Andreas Ostermaier no later than July 19, 2024 to sign up ( [email protected] ). Please state your primary research area and method. Mention also what motivates you to sign up for this course and whether you are planning to run an experiment.

If you have a research question or idea for an experiment that you would like to see as an assignment, remember to include a very brief proposal in your application. If you have any introductory readings, feel free to suggest these, too.

Please make sure you can attend the full course before signing up. From a pedagogical angle and out of fairness toward the other participants, you should not miss any part of the course for any reason, including the supervision of student exams.

Lecturer:  Dr. Andreas Ostermaier (University of Southern Denmark)

Course dates:  The seminar is scheduled to be held on July 22–24, 2024 in room 0505.03.539 ( https://portal.mytum.de/displayRoomMap?3539@0505 ).

Location : Campus Munich - The course is planned to be held in person.

Mastering the Review Process: Writing and Responding to Peer-Reviews

The course is offered for doctoral candidates and post-docs at TUM, who conduct research in the field of business, economics, psychology, political science, sociology, or adjacent fields. Participants of other universities can be accepted for the course if capacity permits.

Each participant requires a working paper for participation, which will be peer-reviewed by another course participant.

Syllabus :  Mastering the Review Process: Writing and Responding to Peer-Reviews

Registration:  Application deadline: April 3, 2024

• Please send an e-mail to the above email address with a registration request that (1) includes your name, (2) the title of your paper (see Assessment), and (3) your TUM-eMail-Address.
• No late enrollment: Registration after the deadline is not possible.

Lecturer:  Prof. Dr. Jens Förderer (TUM)

03.04.2024, 23:59:59: Registration deadline 10.04.2024, 09:00-16:00: Presentation by instructor 23.05.2024, 09:00-16:30: Presentation day 1 24.05.2024, 09:00-16:30: Presentation day 2

Location : Course will be held online-only via Zoom. Login details will be distributed after registration.

Research on Stochastic Modeling and Data-driven Optimization

What this course is

A structured introduction to learning methodological approaches for successful research in stochastic models and data-driven optimization in logistics and supply chain management at the beginning of the PhD program.  

What this course is not

A listen and repeat lecture.

Syllabus :  Research on Stochastic Modeling and Data-driven Optimization

Registration:  Apply until March 31, 2024 by sending an email to: [email protected] .

Lecturer:  Prof. Dr. Stefan Minner(TUM)

Kickoff-Meeting on April 15, 2-4 pm in room 1577.

Weekly sessions (April 15 - July 15) on Mondays, 2-4 pm in room 1577

Smart Management

This course has three goals: (1) it will help doctoral candidates develop a better understanding of how managers make decisions; (2) it will provide them with conceptual tools to navigate their own professional careers; and (3) it will introduce them to a fascinating field of research in which much is left to be explored and discovered.

Syllabus :  Smart Management

Registration:  By email to [email protected] until June 15, 2024. Participants will be admitted on a first come, first served basis.

Lecturer:  Prof. Dr. Tomás Lejarraga (Universitat de les Illes Balears)

Course dates:  The course will be held in person at the TUM main campus in Munich between June 18 to 20.

Location : TUM main campus in Munich

Strategic Management (II): Empirical Research in Strategic Management

This course will build upon the earlier course of “Theoretical Foundations in Strategy.” In this class, we will go deeper into the theories we covered and give particular attention to empirical design issues and the development and testing of hypotheses. We will begin by examining the implications of firm heterogeneity for empirical research as well as the implications of “fit” (e.g., between organizations and their environments, between organizational forms and attributes of transactions, etc.) for empirical testing. We will also focus on firm survival and exit, and in later sessions cover modeling choices suitable for testing the theories we have covered in the first course. As part of our sessions, we will consider some award-winning strategy dissertations so you can identify what makes for a good dissertation. We will also have a workshop on developing your own research ideas based on what we are learning in the course.

Syllabus :  Strategic Management (II): Empirical Research in Strategic Management

Registration:  Please register for the course via self-registration in Moodle ( https://www.moodle.tum.de/course/view.php?id=98016 )

Lecturer:  Prof. Jeffrey J. Reuer, PhD (University of Colorado)

Empirical Research in Strategic Management (week of July 1, 2024; Zoom Login details tba). 1. Firm Heterogeneity and Fit (Monday, 13:00-16:30) 2. Survival and Exit (Tuesday, 13:00-16:00 and 16:30-18:30) 3. Transaction Cost Economics (Wednesday, 13:00-16:30 and 17:00-19:00) 4. Information Economics (Thursday, 13:00-16:30) 5. Implications of Strategic Decisions (Friday, 13:00-16:30)

Web Scraping for Scientists: An Introduction with Python

The course … (1) makes participants familiar with the problem of collecting massive data from Internet sources, (2) guides participants to evaluate the costs and benefits of automating data collection, (3) introduces participants to the structure of web sites, (4) reviews the most effective approaches for collecting data from web sources, (5) provides hands-on implementations using Python, and (6) outlines ethical and methodological considerations.

Syllabus :  Web Scraping for Scientists: An Introduction with Python

Registration:  Registration deadline: 03.04.2024

Please send an email to the above stated address with a registration request that includes your name (see below) and your TUM eMail-address. Please do not sign up using your private email address. No registration is possible after the deadline.

03.04.2024, 23:59:59: Registration Deadline 11.04.2024, 09:00-17:30: Day 1 (Fundamentals, HTML, Crawling, Fetching, Parsing) 12.04.2024, 09:00-17:30: Day 2 (Advanced Scraping, Methodological and Ethical Issues) 17.04.2024, 11:00-15:00: Q&A (Questions by Participants, Individual Consultation) 26.04.2024, 23:59:59: Submission Deadline for the Group Exercise

Winter term 2023 / 2024

Advanced topics in finance research (methods/theory).

The goal of this course is to present and discuss current state-of-the-art research in finance. Therefore, renowned researchers from various European universities will present their latest research in the fields of asset pricing, corporate finance, and financial intermediation. Extensive discussion in class is encouraged. Thereby, students will learn to know and discuss critically current topics in finance. They will also learn more about state-of-the-art research methodologies.

The target audience are doctoral candidates and post-docs in finance. A requisite for participation is a specialization in finance and/or accounting.

Syllabus: Advanced Topics in Finance Research (Methods/Theory)

Registration: Please send an email to [email protected]  by October 10, 2023. In your email, please state your department and specify the topic and state of your dissertation or research area (post-docs). Strict preference will be given to individuals with a specialization in finance and/or accounting.

Lecturer: Dr. Aida Cehajic (TUM)

Course dates:  See https://www.fa.mgt.tum.de/fm/research-seminar/

Location : The course will mainly take place at TUM Campus Munich.

Advances in Energy Economics

The goal of the seminar is to foster a vibrant academic environment where doctoral candidates engage in stimulating discussions with peers and senior researchers (professors) that would help advancing their research. Focused on the advances in energy economics, the seminar is designed for doctoral candidates and postdoctoral researchers with an interest in related fields..

Syllabus: Advances in Energy Economics

Registration: To register for the course please email [email protected] by Sep 15th, 2023. Spaces limited to 10 participants.

Lecturer: Prof. Svetlana Ikonnikova (TUM) & Prof. Sebastian Schwennen (TUM)

Course dates:  From Oct 15 2023 to Mar 2024 (14 sessions, 2 SWS)

Communicating Management Research: (Re)writing Introductions

This course is designed to help (in particular) junior scholars in the field of management gain exposure and experience with techniques on the written communication of academic work, specifically, how to write interesting and important introductions. The course requires reading and the discussion of readings, but it is fundamentally a “learning-by-doing” course. I hope to have you undergo an iterative process where you a) communicate your research, b) receive feedback, c) revise your communication, and then cycle through this process again in your own journey. The goal of this course is to start you on the path of being a great communicator of your research and increase the odds of publishing in a top journal. Here, top journal implies primarily the “Top 6” (AMJ, AMR, ASQ, ManSci, OrgSci, SMJ), the leading journals in other disciplines (e.g., AJS, ASR, MISQ, Nature, Science…), and also, though to a lesser degree, top field journals that are often part of the “FT 50” – a list of 50 strong management journals listed by the Financial Times. The central question for publishing in these top journals is, usually, how can I make a “theoretical contribution?” Therefore, this course aims to help you clarify your core ideas and craft the introduction so that you articulate the contribution.

Syllabus : Communicating Management Research: (Re)writing Introductions

Registration : Please sign up for the course via email to [email protected] by January 9, 2024 , with your up-to-date academic resume and and the full manuscript you wish to discuss during the course. Your paper needs to be empirical . Also email me if you have any questions regarding the course.

Lecturer : Prof. Amy Zhao-Ding, Ph.D. (TUM)

Course dates : 

All courses take place online, from 9:30am-5:45pm (changes subject to the number of students enrolled). Below are the dates and topics for the sessions, please see “Course Outline” for details on each session’s content and required preparations.

31.01.2024 - What makes good theory? The clarification of ideas 02.02.2024 - How to make a contribution? The craft of introduction: I 07.02.2024 - How to make a contribution? The craft of introduction: II

Location : online

Contemporary Topics in Entrepreneurship and Family Enterprise Research

The doctoral course in Contemporary Topics in Entrepreneurship and Family Enterprise provides an overview of the broad research field of entrepreneurship and family enterprises, and gives insights into a selected number of contemporary topics. The seminar is targeted at doctoral students, who intend to strengthen their theoretical knowledge in topics related to entrepreneurship and family enterprises.

Syllabus: Contemporary Topics in Entrepreneurship and Family Enterprise Research

Registration: Since the seminar is very interactive in nature, it is limited to 15 participants. If you are interested in the seminar, send a short letter of motivation and CV until February 24, 2024 to [email protected]

Lecturer: Prof. Dr. Miriam Bird (TUM)

Course dates:

Day 1: Monday, March 11, 2024 - over Zoom Day 2: Monday, March 18, 2024 - onsite TUM Campus Heilbronn Day 3: Tuesday, March 19, 2024 - onsite TUM Campus Heilbronn Day 4: Wednesday, March 20, 2024 - onsite TUM Campus Heilbronn Day 4: Monday, April 22, 2024 (Zoom Meetings) (08:30-17:00) - over Zoom  

Location : The course will mainly take place at TUM Campus Heilbronn and via Zoom.

Doctoral Seminar on Strategic Management (I): Theoretical Foundations of Strategy

We will begin with the foundational issues in strategy and see how the field made substantial progress by relaxing and addressing head-on a number of restrictive assumptions in mainstream economics about information, decision-making, and behavior in organizations. We will start with the early progress made by using the theories and approaches of industrial organizational economics, in addition to a number of very important (and controversial) insights that strategic management provided. We will cover a family of theories that make up so-called “organizational economics” that address key questions related to the organizational and geographic scope of the firm, and we will cover a series of competence-based, evolutionary, and learning perspectives on competitive advantage and firm dynamics. Finally, some attention will also be given to theories that are newer and have been used less often in different streams of strategy research but hold considerable promise, including information economics and real options theory. By design and necessity, breadth will be prioritized over depth, but by the end of the course you will have familiarity with a considerable body of theoretical material that has provided the bedrock for strategic management research over the past few decades. Equally important to you, all of the theories we will cover are topical and provide the basis for scholars’ research programs today.

Syllabus: Doctoral Seminar on Strategic Management (I): Theoretical Foundations of Strategy

Registration: Please register for the course via self-registration in Moodle ( https://www.moodle.tum.de/course/view.php?id=95847 )

Lecturer: Professor Jeffrey J. Reuer, PhD (University of Colorado)

Theoretical Foundations of Strategy (week of March 4, 2024) 1. Foundational Issues in Strategy (Monday, March 4, 09:00-12:30) 2. Industrial Organization Economics (Tuesday, March 5, 09:00-12:30) 3. Resource-Based View (Wednesday, March 6, 09:00-13:00) 4. Knowledge-Based View and Dynamic Capabilities (Wednesday, March 6, 09:00-13:00) 5. Transaction Cost Economics (Thursday, March 7, 09:00-12:30) 6. Information Economics (Thursday, March 7, 13:30-16:30) 7. Real Options Theory (Friday, March 8, 09:00-12:30)

Econometrics I: Research Design and Estimation Methods

This doctoral course aims at giving doctoral students at the School of Management an overview of the essentials quantitative methods. We will not focus on the econometrics, but aim at developing the students’ understanding of what the methods are all about and how they work in practice.

Syllabus: Econometrics I: Research Design and Estimation Methods

Registration: Apply via Email to the instructor until December 20 th 2023.

Lecturer: Prof. Hanna Hottenrott (TUM)

Course dates: 09.01.2024, 10.01.2024, 11.01.2024, 17.01.2024 and 18.01.2024

The first session in a day will start at approx. 9am and last to about noon, after a short lunch break it will continue from about 1pm to 2:30pm. The second session in a day will last from 2:45pm to about 4pm.

Econometrics III: Advanced Econometrics & Statistical Learning

The course is part of a series of econometrics courses at TUM School of Management that also comprises “Econometrics I: Research Design and Estimation Methods” by Prof. Dr. Hanna Hottenrott and “Econometrics II: Causal Inference” by Prof. Dr. Joachim Henkel.

The course covers a selection of state-of-the-art methods in econometrics. It aims to provide students with a sound understanding of the methods discussed, such that they are able to do research using modern econometric techniques, as well as critically assess existing studies.

In particular, the course will cover the following topics:

• Generalized Methods of Moments (GMM) Estimation
• Potential Outcomes and Treatment Effects
• Panel Data Estimation
• Regression Shrinkage Methods (Ridge, Lasso, Elastic Net)
• Advanced Identification Strategies (e.g. Double Machine Learning and Causal Forests)

In the morning, we will briefly discuss the econometric methods (including some applications to illustrate them). Students will then apply these methods and will replicate recent research papers in economics.  I will also assign a (replication) project to each student. You can also come up with an own application and/or dataset you are interested in.

Syllabus: Econometrics III: Advanced Econometrics & Statistical Learning

Registration: Until end of February, via email.

Lecturer: Prof. Dr. Helmut Farbmacher (TUM)

Course dates:  March 11-15, 2024 (10am to 5pm, room 2544)

Location : The course will mainly take place at TUM Campus Munich (room 2544).

Efficient Academic Writing for Empirical Research

Knowledge Objectives

• Students will have a good understanding of academic writing and the structure of the different chapters in a scientific paper.
• Students will know efficient publication strategies

Skills Objectives

• Students will have improved their skills in research as well as in writing their dissertations or papers.
• Students will have a solid draft of one of their dissertation paper.
• Students will have utilized the processes of revision by positive, constructive peer reviews of the documents by fellow students on their writing and by revising their documents.

Learning Objectives

• Students will have learned about how to start and finish writing a scientific paper in the context of writing a Ph.D. thesis.
• Students will have identified standard elements of research papers and used this knowledge to work on their dissertations or papers.

Syllabus:  Efficient Academic Writing for Empirical Research

Registration:  Please apply until 31st January 2024 to Theresa Treffers , [email protected] , via email containing:

• Your CV with contact information and chair of your dissertation
• Dissertation topic (1 sentence)
• Problem statement (3 sentences)
• Data description (3 sentences)
• Target journal (possibly call for papers) and/or conference with deadline

Lecturer: Prof. Dr. Isabell Welpe (TUM), Dr. Theresa Treffers (TUM), Nadja Born (TUM)

Course dates: 12.03.2024, 08.04.2024, 09.04.2024, 16.04.2024 - 02.07.2024 (every Tuesday)

Location:  Campus Munich for one session, all other sessions are online

Entrepreneurship for Sustainable Development

The seminar mainly targets doctoral students from the TUM School of Management (including Munich, Garching, Weihenstephan, Straubing, and Heilbronn) with a special focus on entrepreneurship. Doctoral students from other TUM schools and universities interested in entrepreneurship for sustainable development are also welcome. Due to its interactive nature, the seminar is limited to 15 participants.

Syllabus: Entrepreneurship for Sustainable Development

Registration: If you are interested in the seminar, please send a short letter of motivation and CV as one pdf file to Prof. Dr. Frank-Martin Belz ( [email protected] ), Prof. Dr. Claudia Doblinger ( [email protected] ) and Prof. Siddharth Vedula Ph.D. ( [email protected] ) by 31 October 2023 .

Lecturer: Prof. Dr. Frank-Martin Belz (TUM), Prof. Dr. Claudia Doblinger (TUM) & Prof. Siddharth Vedula, PhD. (TUM)

Session 1: Introduction to Entrepreneurship for Sustainable Development Main facilitators: Frank-Martin Belz, Claudia Doblinger, Siddharth Vedula Date and location: Monday, 4 December 2023 (9:15-12:45), TUM main campus in Munich

Session 2: Governmental Policy and Entrepreneurship for Sustainable Development Main facilitator: Claudia Doblinger Date and location: Monday, 4 December 2023 (13:45-17:45), TUM main campus in Munich

Session 3: Communities and Entrepreneurship for Sustainable Development Main facilitator: Siddharth Vedula Date and location: Tuesday, 5 December 2023 (9:15-12:45), TUM main campus in Munich

Session 4: Process of Sustainable Entrepreneurship Main facilitator: Frank-Martin Belz Date and location: Tuesday, 5 December 2023 (13:45-17:45), TUM main campus in Munich

Session 5: Impacts of Sustainable Entrepreneurship Main facilitator: Frank-Martin Belz Date and location: Wednesday, 6 December 2023 (9:15-13:00), TUM main campus in Munich

Session 6: Future Research - Presentation and Discussion of Paper Proposals Main facilitators: Frank-Martin Belz, Claudia Doblinger, Siddharth Vedula Date and location: Friday, 8 December 2023 (9:15-13:00), TUM main campus in Munich

Field Experiments: Start to finish

This course aims to provide doctoral canidates at the School of Management with a practical introduction to conducting field experiments, with a particular focus on field experiments in economics.

Syllabus: Field Experiments: Start to Finish

Registration: Doctoral candidates send an email to Prof. Lergetporer  [email protected]  

Lecturer: Prof. Philipp Lergetporer, PhD

Course dates:  Each day (09.10.2023-13.10.2023), the lecture starts at 9 am and ends at 4 pm. There will be a lunch break and coffee breaks.

Location : The course will mainly take place at TUM Campus Heilbronn.

FAQ: Which paper should I submit for the course?

• You should be interested in developing your paper. This is given if your paper is part of you dissertation, or if you intend to publish it in a scientific journal or in the proceedings of a conference.
• All types of papers are welcome – including literature reviews, theoretical papers, and empirical papers.
• It is not necessary to submit a fully complete paper. Nevertheless, it must be at least 5,000 words long. Empirical papers must at least report some (early) findings.
• There are no formatting requirements for the working paper.
• It is not possible to submit your paper after the first course day. This is because your paper will be distributed on the first course day for peer-review.

Syllabus: Mastering the Review Process: Writing and Responding to Peer-Reviews

Registration:  Application deadline: October 6, 2023

Lecturer:  Prof. Dr. Jens Förderer (TUM)

Course dates:  Course will be held online-only via Zoom. Login details will be distributed after registration. 06.10.2023, 23:59:59: Registration deadline 12.10.2023, 09:00-16:00: Presentation by instructor 30.11.2023, 09:00-16:30: Presentation day 1 01.12.2023, 09:00-16:30: Presentation day 2

Location : The course will take place online.

Paper and Proposal Development in Strategic Management: Meet the Editors at HEC Paris

The course is intended for doctoral candidates in Strategic Management, International Management, Innovation, and Entrepreneurship. The goal is to develop ideas and working manuscripts with the aim of later submission for review in top management journals.

Syllabus: Paper and Proposal Development in Strategic Management: Meet the Editors at HEC Paris

Registration: The application process will take place on the TUM online platform. Participation is by application only. Interested scholars should register and submit an extended abstract (between 5 and 10 pages of text) of their project proposal to [email protected] . Submitted abstracts should describe the project, the intended theoretical contribution, the research design, the empirical approach, and the status of the project idea to date. Please note that submission of an abstract does not guarantee acceptance. The quality of the proposal will be taken into consideration.

Lecturer: Prof. Chengguang Li (TUM) and Prof. Joachim Henkel (TUM)

Course dates:  The course will start on the 16 October 2023. It will end with a roundtable discussion at the HEC in Paris 08./09. November 2023.

Location : HEC in Paris

Psychological Theories

This course gives doctoral students an introduction to the psychological theories and concepts that have been most influential for management research and practice. At the end of the course, participants will be familiar with the key concepts, respective empirical findings, and their application to management practice. To this end, each participant will be asked to present in class recent research pertaining to the theory s/he chooses, and to conduct an interactive exercise to facilitate a more comprehensive understanding of the theory's relevance for management research and practice.

Syllabus: Psychological Theories

Registration: By email to [email protected] (Dr. Martin Fladerer) until December 1, 2023 . Participants will be admitted on a first come, first served basis.

Lecturer: Prof. Dr. Claudia Peus (TUM) and Dr. Martin Fladerer (TUM)

Course dates:  Course will be held in person at the TUM main campus in Munich (Arcisstr. 21, Building 0505, Room Z577) – except for the Group Feedback, which is online.

Friday, 15 December 2023, 9.00 am to 5.00 pm

Friday, 9 February 2024, 1.00 pm to 5.00 pm, online (Group Feedback)

Thursday, 22 February 2024, 9.00 am to 5.00 pm (Presentation Day 1)

Friday, 23 February 2024, 9.00 am to 5.00 pm (Presentation Day 2)

Location : Campus Munich, room Z577

Qualitative Research

Qualitative research has become an established method of inquiry in human and social sciences, including management and related fields. Qualitative papers are published in leading management journals (e.g. Academy of Management Journal). In this seminar, you will learn about: the notion of methodological fit; ontological and epistemological assumptions; qualitative research designs; research methods for qualitative data collection; and research methods for qualitative data analysis.

Syllabus: Qualitative Research

Registration: Since the doctoral seminar is interactive, it is limited to 15 participants. If you are interested, send a short letter of motivation and CV to Prof. Dr. Frank-Martin Belz by 26 November 2023 (email: [email protected] ). 

Lecturer: Prof. Dr. Frank-Martin Belz (TUM)

Course dates: 15.01.2024, 16.01.2024, 17.01.2024, 19.01.2024

Location : Campus Munich

The doctoral seminar will be held in person at the TUM School of Management in Munich (seminar room to be assigned). Note that is required to read all papers before class to allow group work and in-depth discussions.

Readings in Empirical Accounting Research

Doctoral candidates in accounting will be familiarized with recent research in empirical financial and sustainability accounting.

It is a readings course in which we critically discuss recent working papers or published papers in empirical financial and sustainability accounting.

Syllabus: Readings in Empirical Accounting Research

Registration: Please write an e-mail to [email protected] by October 9th, 2023 at the latest.

Lecturer: Prof. Dr. Jürgen Ernstberger (TUM)

Course dates: The kick-off meeting is on October, 17 th at 4 p.m. This first session provides an overview of important criteria for assessing the quality of empirical accounting research papers. In the following sessions, we discuss overview papers, seminal papers on specific topics, or state-of-the-art papers. Students can make suggestions for suitable papers which are related to their dissertation topics. In the following sessions, we discuss current working papers which are presented in research seminars, and we participate in these seminars to learn how to present and discuss a paper.

Location : Campus Munich, room 3546 + excursions

Seminal Research in Operations and Supply Chain Management

This seminar is open for all doctoral candidates at TUM School of Management who are interested in learning more about how to read, analyze, comprehend, and evaluate published studies systematically.

Syllabus:  Seminal Research in Operations and Supply Chain Management

Registration: Please write an email to [email protected] until 15 October

Lecturer: Michela Carraro (TUM)

Course dates:  The course will be held hybrid. The preliminary course dates for the WS 23/24 are

Thursday, 26 October 2023, 9.00 am to 6.00 pm Thursday, 2 November 2023, 9.00 am to 6.00 pm Thursday, 9 November 2023, 9.00 am to 6.00 pm Thursday, 16 November 2023, 9.00 am to 6.00 pm Thursday, 23 November 2023, 9.00 am to 6.00 pm Thursday, 30 November 2023, 9.00 am to 6.00 pm Thursday, 7 December 2023, 9.00 am to 6.00 pm

The course is offered for doctoral candidates and post-docs at TUM. Participants of any research field are welcome.

Participants of other universities are accepted only if capacity permits.  

Syllabus: Web Scraping for Scientists: An Introduction with Python

Registration:  Please send an email to the above stated address with a registration request that includes your name (see below) and your TUM eMail-address. Please do not sign up using your private email address.

Registration deadline: 12.10.2023

Course dates:  Course will be held online-only via Zoom. Login details will be distributed after registration. 12.10.2023, 23:59:59: Registration Deadline 19.10.2023, 09:00-17:00: Day 1 (Fundamentals, HTML, Crawling, Fetching, Parsing) 20.10.2023, 09:00-17:00: Day 2 (Advanced Scraping, Methodological and Ethical Issues) 27.10.2023, 09:00-14:00: Q&A (Questions by Participants, Individual Consultation) 09.11.2023, 23:59:59: Submission Deadline for the Group Exercise

Workshop on Current Research Trends in Sustainable Finance

Doctoral candidates and post-docs in business/management with particular interest in Sustainable Finance including ESG investing, green finance, and impact investing.

Syllabus: Workshop on Current Research Trends in Sustainable Finance

Registration: Doctoral candidates and post-docs may apply using a registration form  

Registration will open on 1 July 2023. Deadline for registration is the 15 September 2023.

The course is limited to 12 participants (first come, first served).

Lecturer: Prof. Dr. Sebastian Müller (TUM) & Dr. Karoline Bax (TUM)

Course dates:  The presentation day will take place via Zoom approximately two weeks after the workshop. Login details will be  distributed after registration.

The schedule of the 15 November 2023:

9.30-10.00 Opening and administration 10.00-11.30 Literature review part 1 11.30-13.00 Literature review part 2 13.30-16.30 Empirical analysis of prominent issues in sustainable finance 16.30-18.00 Presentation of results and possible discussion on future research directions

The schedule of the 16 -17 November 2023: 09.00 – 17.30 Presentations and Panel Discussions

Doctoral Summer School 2023 at TUM Campus Heilbronn

TUM School of Management invites you to the second Doctoral Summer School at TUM Campus Heilbronn from September 18-29, 2023.

Week 1 (Sept 18 - Sept 22, 2023)

Course 1 :  Prof. Dr. Christoph Ann: Technology protection for Doctoral candidates   Canceled due to illness.

Course 2: Prof. Dr. Paul Momtaz: Blockchain Technology and Digital Assets

Week 2 (Sept 25 - Sept 29, 2023)

Course 3: Prof. Dr. Jochen Hartmann: Machine Learning Lab

Course 4: Prof. Fehmi Tanrisever (Bilkent University): Emerging Topics in Operations Management

For more information please read this digital flyer . Please read it thoroughly before registering for the Doctoral Summer School.

Registration period ended and applicants received acceptance by email. Places will be distributed on a first come - first served basis. Registration is only possible for doctoral candidates of TUM School of Management.

Summer Term 2023

Advanced panel data econometrics.

The course covers basic and advanced panel data estimation methods and related topics like difference in-difference or synthetic control methods. In particular, the course will cover the following topics: • Static Panel Data Methods (FE vs RE, Inference, Time Effects) • Dynamic Panel Data Methods (GMM Estimation, Nickell Bias, Bias-Correction) • Large-T Panels • Difference-in-Difference and Synthetic Control Methods

Syllabus: Advanced Panel Data Econometrics

Registration: Until March 20, 2023, via email to [email protected]

Lecturer:  Prof. Arturas Juodis (University of Amsterdam)

Course dates: March 27-30, 2023 (in person) (9am to 4pm, room tba)

Location: Campus Munich - March 27: 2566 (building 0505) and March 28-30: Z534/Z536 (building 0505)

Applied Choice Analysis

The course will introduce doctoral students to choice modelling techniques for consumer and marketing analysis. Starting with the theory of consumer choice, the course will discuss different data types available for choice analysis. It will then focus on the specifics of choice experiments, discussing advantages and disadvantages of different experimental designs and data collection procedures. Participants will be familiarized with data handling and analysis considering multinomial logit, random parameters logit and latent class analysis. To obtain an overview of the literature, participants will present papers from the relevant field.

Syllabus: Applied Choice Analysis

Registration: Students are asked to register via the Doctoral Certificate Program in Agricultural Economics ( https://www.agraroekonomik.de/registration.html ).

Lecturer:  Prof. Jutta Roosen, Corinna Hempel, Malte Oehlmann (TUM)

July 3, 2023, 14-17 hours July 4-July 6, 2023, 9-12 hours and 13-16 hours July 7, 2023, 9-12 hours

Location: Campus Weihenstephan

Bayesian data analysis and cognitive modeling

The advantages of a Bayesian approach to data analysis have been known for a long time (e.g., Edwards, Lindman, & Savage, 1963). Recent developments in computer science have made the practical application of these approaches accessible. Bayesian methods avoid many of the problems of frequentist methods—such as not being able to confirm the null hypothesis or that p-values depend on the goals during participant recruitment (e.g., Wagenmakers et al., 2017; Kruschke, 2014). In addition, Bayesian statistics is more intuitive than frequentist statistics, in that it evaluates a hypothesis given the data rather than the other way round. Bayesian approaches are therefore likely to eventually replace frequentist approaches in data analysis. The goal of this course is to introduce students to the logic and practice of Bayesian statistics as well as to provide an introduction to cognitive modeling.

Syllabus :  Bayesian data analysis and cognitive modeling

Registration : Please apply to Prof. Pachur directly via email: [email protected] .

Lecturer:  Prof. Dr. Thorsten Pachur (TUM)

Course dates:  5.-7. September 2023, 9am - 6pm

Location : Campus Munich - Room tbd

Basic Neuroscience for Organisational Research and Economics

This seminar aims at teaching the basics of cognitive neuroscience and how it is applied more or less meaningfully in management and organisational research. We will specifically focus on non-invasive brain stimulation, electroencephalogram, and functional Magnetic Resonance Imaging. Graduate students will be enabled to understand these methods, successfully read respective papers and their method section, and to assess the potential as well as the pitfalls of neuroscientific methods in their fields of research.

Syllabus: Basic Neuroscience for Organisational Research and Economics

Registration: e-mail to [email protected]

Lecturer:  Dr. Leidy Y. Cubillos Pinilla (TUM)

Session I: 31.07., 9:30-12:00 & 13:00-15:00, Seminarraum Z577, TUM School of Management. Corner Luissenstraße and Arcisstraße, Arcisstraße 21, 80333 München Session II: 07.08., 9:00-12:00 & 13:00-16:00, Seminarraum Z577, TUM School of Management. Corner Luissenstraße and Arcisstraße, Arcisstraße 21, 80333 München Session III: 08.08., 9:00-12:00 & 13:00-16:00, Seminarraum Z577, TUM School of Management. Corner Luissenstraße and Arcisstraße, Arcisstraße 21, 80333 München Session IV: 14.08., 9:00-12:00 & 13:00-16:00, Seminarraum Z577, TUM School of Management. Corner Luissenstraße and Arcisstraße, Arcisstraße 21, 80333 München

Location: Campus Munich - Z577 (building 0505)

Causal Inference and Data Fusion in Management and Economics Research

This course offers an introduction into causal inference with directed acyclic graphs (DAGs). DAGs combine mathematical graph theory with statistical probability concepts and provide a powerful approach for causal modeling. Originally developed in the computer science and artificial intelligence field, they recently gained increasing traction also in other scientific disciplines (such as economics, political science, sociology, health sciences, and philosophy). DAGs allow to check the validity of causal statements based on intuitive graphical criteria, that do not require algebra. In addition, they open the possibility to completely automatize the causal inference task with the help of special identification algorithms. As an encompassing framework for causal reasoning, DAGs are becoming an essential tool for everyone interested in data science and machine learning.

Syllabus: Causal Inference and Data Fusion in Management and Economics Research

Registration: Please register for the course directly with the instructor via email.

Lecturer: Prof. Dr. Paul Hünermund (Copenhagen Business School)

Course dates: The course consists of a total of ten sessions with two sessions daily and a lunch break in-between, as well as a coffee break during the periods that take place in the afternoon. April 24-28, 2023 (10am to 4pm)

Location: Campus Munich - Room tba.

Econometric analysis aims at uncovering economic mechanisms, their causes and effects. Understanding the mechanisms behind a phenomenon is indispensable if one is to give advice to managers or policy makers, or to build theory. Simple regressions on cross-sectional data show associations, but not causality, so we need more sophisticated methods. This course shall convey econometric methods that allow causal inference, or at least to come closer to uncovering causal effects. The focus will be on applicable knowledge, less on details of the theory. The course is part of a series of econometrics courses at TUM School of Management that also comprises “Econometrics I: Research Design and Estimation Methods” by Professor Hottenrott and “Econometrics III: Advanced Econometrics and Machine Learning” by Professor Farbmacher.

Topics comprise various methods to address selection issues and come close to causality: 1. Randomized controlled trials and natural experiments 2. Matching 3. Regression discontinuity design 4. Instrumental variables 5. Panel data 6. Differences-in-Differences 7. Heckman selection models

Syllabus: Econometrics II: Causal Inference

Registration: Until April 19, 2023, via Moodle.

Lecturer:  Prof. Dr. Joachim Henkel (TUM)

Course dates: Kick-off Friday April 21, 2023, 2:00 pm – 4:30 pm in person (room will be announced). The course will be taught as a series of seven half-day seminars in June and July, either in the morning or on the afternoon. Dates will be coordinated with participants. The course is planned to be held in person.

Location: Campus Munich - The course is planned to be held in person (room will be announced).

Econometrics IV: Machine Learning (only PhD)

The course is part of a series of econometrics courses at TUM School of Management that also comprises “Econometrics I: Research Design and Estimation Methods” by Prof. Dr. Hanna Hottenrott, “Econometrics II: Causal Inference” by Prof. Dr. Joachim Henkel and “Econometrics III: Advanced Econometrics” by me. Econometrics IV will be a block lecture but conceptualized as a seminar based on student presentations. The course covers a selection of state-of-the-art methods in econometrics and machine learning. It aims to provide students with a sound understanding of the methods discussed, such that they are able to do research using modern econometric techniques, as well as critically assess existing studies.

In particular, the course will likely cover the following topics: • Regression Shrinkage Methods (Ridge, Lasso, Elastic Net) • Decision Trees, Random/Causal Forests • Advanced Identification Strategies (e.g., Double Machine Learning) • Introduction to Neural Networks

In the morning, we will briefly discuss the econometric methods (including some applications to illustrate them). Students will then apply these methods and will replicate recent research papers in economics. I will also assign a (replication) project to each student You can also come up with an own application and/or dataset you are interested in.

Syllabus: Econometrics IV: Machine Learning

Registration: Until September 11, 2023, via email.

Lecturer:  Prof. Dr. Helmut Farbmacher (TUM)

Course dates: September 18-22, 2023 (10am to 4pm, room 2544)

Empirical Corporate Finance

In this course, students will learn about interesting research in the three areas of empirical corporate finance. The intention is to devote each meeting to a different topic by covering several related papers. The goal is to not only understand the results of the paper but also the methodology and the way how the paper arrived at the result. Both the instructor and the students will present research papers in the class, which will then be critically discussed. Thus, this course is highly interactive, so students are expected to actively participate in classes.

Syllabus: Empirical Corporate Finance

Registration: Please register for the course by sending an e-mail to [email protected] until May 14, 2023, at the latest.

Lecturer:  Prof. Thomas Schmid (HKU)

• Mo, 22.05.2023, 14 bis 16 Uhr: Raum 2418 (Seminarraum Lst. Friedl)
• Di, 13.06.2023, 9 bis 18 Uhr: Raum 2418 (Seminarraum Lst. Friedl)
• Mi, 14.06.2023, 9 bis 17 Uhr: Raum 3539 (Seminarraum Lst. Kaserer)
• Do, 15.06.2023, 9 bis 18 Uhr: Raum 3539 (Seminarraum Lst. Kaserer)

Location: Campus Munich

The first key element of this course is experimental design. The ultimatum game serves as an example of a design that can be and has been used to address multiple research questions. In addition, we will work with other selected standard designs intensively. The second key element is to understand when a laboratory experiment is an appropriate method to address a research question or to find research questions in your area of interest that laboratory experiments can address. We will thus consider recent research. You can strongly influence the contents of the course by suggesting a research question or idea (see application process). The third key element is to understand how to conduct a laboratory experiment. Along with questions about software, recruitment of participants, or funding, a visit to the laboratory gives you a specific idea of the procedures. Along with these key contents, we will be touching on various other issues, including criticism of the experimental method, and what can be done about potential weaknesses.

Syllabus : Introduction to Experimental Economics

Registration : Write to Andreas Ostermaier no later than July 21, 2023 to sign up ( [email protected] ). Please state your primary research area and method. Mention also what motivates you to sign up for this course and whether you are planning to run an experiment. If you have a research question or idea for an experiment that you would like to see as an assignment, remember to include a very brief proposal in your application. If you have any introductory readings, feel free to suggest these, too. Please make sure you can attend the full course before signing up. From a pedagogical angle and out of fairness toward the other participants, you should not miss any part of the course for any reason, including the supervision of student exams.

Lecturer : Prof. Dr. Andreas Ostermaier (University of Southern Denmark)

Course dates : The seminar is scheduled to be held on July 24–26, 2023 in room 0505.03.539 .

Location : Campus Munich - Room  0505.03.539

Markov Chains and Queuing Models

Many real life systems are subject to uncertainty and should therefore be modelled with stochastic models. In this course we focus on the theory and the application of two different classes of stochastic models: Discrete Time Markov Chains and Continuous Time Markov Chains. The students should gain knowledge about these models such that they are able to construct these models and apply them to solve real life problems. For illustration we use among others, models of inventory systems, manufacturing systems, maintenance systems, and queuing systems. We show how formulas for performance measures can be derived, and how they can be computed. Further, the students learn numerical methods to obtain solutions, which have to be implemented. Knowledge about Markov Chains is necessary to understand Markov Decision processes.This course is covering the prior knowledge necessary for the course on Markov Decision Models, including basics about reinforcement learning, that is given in the next semester.

Syllabus: Markov Chains and Queuing Models

Registration: PhD Students interested in the course can send an e-mail to [email protected]

Lecturer:  Prof. Dr. Gudrun Kiesmüller (TUM)

20.03.2023: 16.00-17.30: Kick of meeting online - During the kick-off meeting we will discuss the organization of the course and the schedule

The following meetings can be organized hybrid 27.03.2023: 9.30-11.00: Lecture, Discrete Time Markov Chains: Modelling issues 27.03.2023: 11.00-12.30: Exercise, Discrete Time Markov Chains: Modelling issues 27.03.2023: 13.00-15.00: Lecture, Discrete Time Markov Chains: Analysis 27.03.2023: 15.00-17.00: Exercise, Discrete Time Markov Chains: Analysis

03.04.2023: 9.30-11.00: Lecture, Continuous Time Markov Chains: Modelling issues 03.04.2023: 11.00-12.30: Exercise, Continuous Time Markov Chains: Modelling issues 03.04.2023: 13.00-15.00: Lecture, Continuous Time Markov Chains: Analysis 03.04.2023: 15.00-17.00: Exercise, Continuous Time Markov Chains: Analysis

08.05.2023: 10.00-17.00: Presentation of projects

Location: online / can be organized hybrid

Markov Decision Processes and Reinforcement Learning

Many real life systems are subject to uncertainty and should therefore be modelled with stochastic models. In this course, we focus on the theory and the application of Markov Decision Processes and Semi Markov Decision Processes. The students should gain knowledge about these models such that they are able to construct these models and apply them to solve real life problems. For illustration, we use among others, models of inventory systems, manufacturing systems and maintenance systems. We practice to derive the Bellmann equation for these systems and show how an optimal solution can be computed numerically. Besides the traditional solution approaches, we also discuss approaches based on reinforcement learning.

Syllabus: Markov Decision Processes and Reinforcement Learning

The course will take place in September/October 2023 Kick-off meeting 90 minutes 1 days traditional solution methods for Markov Decision Processes 1 days reinforcement learning approaches for Markov Decision Processes 1 day project presentation and discussion

Location: tbd

The course provides an overview of the peer-review process in international scientific journals in business (i.e., submission procedures and requirements, editorial decisions, hierarchies). It offers guidance regarding how to write constructive reviews (i.e., generic template for a review, review expectancies for different outlets and different publication stages, serving as a discussant) and equips participants with tools and information how to analyze reviews which they received on their papers (i.e., identifying and aggregating received comments etc.). Finally, the course prepares participants with tools and information on how to respond to reviews (i.e., writing a response note). We will talk about strategies for answering reviewer comments, setting priorities, and getting into a constructive mindset. Various real-life examples illustrate the topics.

Registration: Please send an e-mail to the email address with a short registration request that includes your name and the title of your paper (see Assessment). Application deadline: April 12, 2023

Lecturer:  Prof. Dr. Jens Foerderer (TUM)

20.4.2023: Course administration, presentation by instructor on writing reviews (09:00-15.00) 17.5.2023: Q&A, presentation by instructor on responding to reviews (13:00-16.00)

Two presentation days in June (dates will be coordinated with the participants).

Location: Course will be held online via Zoom . Login details will be distributed after registration.

Networks and Organizations

The study of networks has become crucial for the understanding of organization. In this class, we discuss research on social networks and examine how it informs our understanding of organizations – informing a variety of topics such as strategy, innovation, or entrepreneurship.

The goal of the class is to understand the theory as well as the methods underlying research on social networks.

Syllabus: Networks and Organizations

Registration: Until July 3, 2023, via Moodle.

Lecturer:  Prof. Henning Piezunka (INSEAD)

Course dates: July 10th, 2023 – July 14th, 2023

Location: Campus Munich - Rroom will be announced.

This course gives doctoral students an introduction to the psychological theories and concepts that have been most influential for management research and practice. At the end of the course, participants will be familiar with the key concepts, respective empirical findings, and their application to management practice. To this end, each participant will be asked to present in class recent research pertaining to the theory s/he chooses, and to conduct an interactive exercise to facilitate a more comprehensive understanding of the theory’s relevance for management research and practice.

Registration: By email to [email protected] (Dr. Regina Dutz) until April 30, 2023 . Participants will be admitted on a first come, first served basis.

Lecturer:  Prof. Dr. Claudia Peus and Dr. Regina Dutz (TUM)

Course dates:  Course will be held in person at the TUM main campus (Arcisstr. 21, Building 0505, Room Z577).

Tuesday, 9 May 2023, 9.00 am to 5.00 pm

Tuesday, 20 June 2023, 9.00 am to 1 pm, online (Group Feedback)

Tuesday, 4 July 2023, 9.00 am to 5.00 pm (Presentation Day 1)

Friday, 7 July 2023, 9.00 am to 5.00 pm (Presentation Day 2

Location: Campus Munich - Room Z577

Scientifc Writing for Doctoral Candidates

The aim of this course is to improve academic writing skills and to support the participants in publishing papers at leading journals. Participants are expected to submit a piece of writing before the start of the seminar. The goal of the course is to revise the piece. At the end of the course, the initially submitted piece of writing should be re-submitted to the lecturer. In addition, the course trains to write cover letters and to respond to journal reviewers.

Syllabus:  Scientifc Writing for Doctoral Candidates

Registration: Please sign up for the course via email to [email protected] by June 12, 2023. If you have any questions regarding the course, please contact Mr. Krieger.

Lecturer: Dr. Bastian Krieger (ZEW)

Preliminary Course dates:

19.06.2023, 10:00 – 12:30, Campus Heilbronn / Hybrid

19.06.2023, 14:00 – 16:30, Campus Heilbronn / Hybrid

20.06.2023, 10:00 – 12:30, Campus Heilbronn / Hybrid

20.06.2023, 14:00 – 16:30, Campus Heilbronn / Hybrid

03.07.2023, 09:30 – 12:30, Online

03.07.2023, 14:00 – 16:30, Online

17.07.2023, 09:30 – 12:30, Online

17.07.2023, 14:00 – 16:30, Online

31.07.2023, Submission of revision history

Location: TUM Campus Heilbronn (room t.b.a.) and online

Scientific Writing in the fields of Operations Research & Management Science

This course targets PhD students and Post Docs and offers guidance on how to write high quality papers, targeted at top journals (e.g., Operations Research, Management Science, POM, MSOM, Transportation Science, …) in the field of Operations Research and Management Science. Among others, we will discuss strategies and methodologies on how to structure and organize papers, how to use proactive writing to anticipate referee criticisms, as well as a diverse toolset on how to convey your research’s main findings. The course contains a mix of lectures and hands on exercises for which students are required to bring a (not necessarily finished) working paper to the first meeting. Ultimately, the course prepares students to convey their research findings in a profound and at the same time comprehensive manner that enables them to prepare publications that are submittable to top-level journals in the field.

Syllabus : Scientific Writing in the fields of Operations Research & Management Science

Registration : Please send an e-Mail with a short application request that includes your name and the title of a working paper that you will bring to the course. Application deadline is April 17th . Places are limited and will be assigned based on fit and in case of a tie by first-come first-serve.

Lecturer : Prof. Dr. Maximilian Schiffer (TUM)

Course dates : April 27th, May 15th, June 1st

Location : TUM Campus Munich, room to be defined.

Seminar on Strategic Management (I): Theoretical Foundations of Strategy

We will begin with the foundational issues in strategy and see how the field made substantial progress by relaxing and addressing head-on a number of restrictive assumptions in mainstream economics about information, decision-making, and behavior in organizations. We will start with the early progress made by using the theories and approaches of industrial organizational economics, in addition to a number of very important (and controversial) insights that strategic management provided. We will cover a family of theories that make up so-called “organizational economics” that address key questions related to the organizational and geographic scope of the firm, and we will cover a series of competence-based, evolutionary, and learning perspectives on competitive advantage and firm dynamics. Finally, some attention will also be given to theories that are newer and have been used less often in different streams of strategy research but hold considerable promise, including information economics and real options theory. By design and necessity, breadth will be prioritized over depth, but by the end of the course you will have familiarity with a considerable body of theoretical material that has provided the bedrock for strategic management research over the past few decades. Equally important to you, all of the theories we will cover are topical and provide the basis for scholars’ research programs today.

Syllabus : Seminar on Strategic Management (I): Theoretical Foundations of Strategy

Registration : Please register for the course via self-registration in Moodle ( https://www.moodle.tum.de/course/view.php?id=88698 )

Lecturer : Prof. Jeffrey J. Reuer, PhD (University of Colorado)

Course dates : Theoretical Foundations of Strategy (week of July 3, 2023; Zoom:  https://cuboulder.zoom.us/j/5539784611 ) 1. Foundational Issues in Strategy (Monday, 15:00-18:30) 2. Industrial Organization Economics (Tuesday, 15:00-18:30) 3. Resource-Based View (Wednesday, 15:00-18:00) 4. Knowledge-Based View and Dynamic Capabilities (Wednesday, 18:30-21:30) 5. Transaction Cost Economics (Thursday, 15:00-18:30) 6. Information Economics (Friday, 15:00-18:00) 7. Real Options Theory (Friday, 18:30-21:30)

Location : Online (Zoom)

Seminar on Strategic Management (II): Empirical Research in Strategic Management

This course will build upon the earlier course of “Theoretical Foundations in Strategy.” In this class, we will go deeper into the theories we covered and give particular attention to empirical design issues and the development and testing of hypotheses. We will begin by examining the implications of firm heterogeneity for empirical research as well as the implications of “fit” (e.g., between organizations and their environments, between organizational forms and attributes of transactions, etc.) for empirical testing. We will also focus on firm survival and exit, and in later sessions cover modeling choices suitable for testing the theories we have covered in the first course. As part of our sessions, we will consider some award-winning strategy dissertations so you can identify what makes for a good dissertation. We will also have a workshop on developing your own research ideas based on what we are learning in the course.

Syllabus : Seminar on Strategic Management (II): Empirical Research in Strategic Management

Registration : Please register for the course via self-registration in Moodle ( https://www.moodle.tum.de/course/view.php?id=88699 )

Course dates : Empirical Research in Strategic Management (week of July 17, 2023; Zoom: https://cuboulder.zoom.us/j/5539784611 ) 6. Firm Heterogeneity and Fit (Monday, 15:00-18:30) 7. Survival and Exit (Tuesday, 15:00-18:00 and 18:30-21:30) 8. Transaction Cost Economics (Wednesday, 15:00-18:00 and 18:30-21:30) 9. Information Economics (Thursday, 15:00-18:30) 10. Implications of Strategic Decisions (Friday, 15:00-18:30)

Statistics with R – Bootcamp

This course is an introduction to the statistical computing environment R. In this course, you will learn how to interact with, process, analyze and visualize data in R. The main objective of this course is to familiarize participants with R and to develop competencies to effectively work on their own research projects with R. This course is also helpful as a primer for other summer program courses such as Advanced Regression or Data Mining.

Syllabus : Statistics with R – Bootcamp

Registration : Please register for the course by Tuesday, August 22 by sending an email to [email protected] .

Lecturer : Prof. Dr. Christian Hildebrand (University of St. Gallen)

Course dates : August 31, 2023, September 7, 2023, September 8, 2023

Location : Campus Munich (1 day) and virtual (2 days), see “Preliminary schedule” below  Rooms: 2566

The Fundamentals of Private Equity Funds and Investing

Through reading materials, course discussions, and group work, students will gain insight into the fundamental aspects of private equity investing, the perspective of fund managers and investors, those who transact with such funds, and those who regulate the fund industry. The course will provide a unique South African perspective, especially now that South Africa has adopted a Twin Peaks Regulatory Framework, like Australia and the United Kingdom. The course will start with an introduction to private equity and specifically third-party private equity funds, which represents the dominant organisational form. In addition, the course will discuss private equity in relation to finance, legal practice, tax, types of private equity, fund structuring, latest trends, as well as the key principles of fiduciary law related thereto.

Syllabus: The Fundamentals of Private Equity Funds and Investing

• The course will commence on Monday 26 June 2023. • The course consists of a total of 24 hours of direct class interaction, which will be split over five (5) classes. • The dates of the five (5) classes will be:   o Lecture 1: 26 June 2023 (9h00 – 13h00; 14h00-15h00)   o Lecture 2: 27 June 2023 (9h00 – 13h00; 14h00-15h00)   o Lecture 3: 28 June 2023 (9h00 – 13h00; 14h00-15h00)   o Lecture 4: 29 June 2023 (9h00 – 13h00; 14h00-15h00)   o Lecture 5: 30 June 2023 (9h00 – 13h00)

Location: Campus Munich - Room 1355

The course …

(1) makes participants familiar with the problem of collecting massive data from Internet sources, (2) guides participants to evaluate the costs and benefits of automating data collection, (3) introduces participants to the structure of web sites, (4) reviews the most effective approaches for collecting data from web sources, (5) provides hands-on implementations using Python, (6) and outlines ethical and methodological considerations.

Registration: Please send an email to the above stated address with a registration request that includes your name (see below) and your TUM eMail-address. Registration deadline: 21.04.2023

27.04.2023, 09:00-17:00: Day 1 (Fundamentals, HTML, Crawling, Fetching, Parsing) 28.04.2023, 09:00-17:00: Day 2 (Advanced Scraping, Methodological and Ethical Issues)

One Q&A meeting in May (date will be coordinated with the participants)

Workshop on „Contributing“ to the Management Literature

What does it take to write a research paper that is published in one of the top management journals? Editors and reviewers at top journals seek papers that make important ‘contributions’ to the literature. But what is a contribution? How do you know when your paper is contributing? More importantly, how do you write your paper to make a contribution that editors and reviewers recognize such that they want to publish your paper?

Syllabus : Workshop on “Contributing” to the Management Literature

Registration : To apply, please send an email to [email protected] , and copy [email protected] on the email. In this email, please specify (a) where you are in your doctoral program, (b) what you currently expect to do once you finish your doctoral program, and (c) what you hope to get out of this class. On top of that, please (d) attach the current version of the working paper you hope will be improved as a result of this workshop and (e) paste the abstract of the working paper to the bottom of the email. TUM students will need to apply before Jan 15, 2023; they will of course be able to submit an updated version of their working paper at a later date.

Lecturer : Prof. Hart E. Posen (University of Wisconsin-Madison)

Course dates :

April 17 (Monday): 9:00 – 12.00 and 14:00 – 17:00 April 18 (Tuesday): 9:00 – 12.00 and 14:00 – 17:00 April 19 (Wednesday): 9:00 – 12.00 and 14:00 – 17:00 Zoom (3h; day& time TBA)  How to apply my key learnings in my Ph.D. studies at TUM (Prof. Alexy; mandatory for TUM participants, open to others)

Location : To be announced (either at TUM’s Garching campus or downtown)

• ESMT Berlin
• Faculty & Research
• PhD Program

PhD program

Do you have questions or need more information about our program?

Take your research and career to the next level with a PhD. ESMT Berlin's structured PhD studies provide an intellectually stimulating and academically rigorous environment for you to make the most of your research. With our vibrant international community and focus on real-world impact, it's the ideal environment to progress your career. 

• Rigorous training in state-of-the-art methodology in preparation for your independent research.
• Access to ESMT’s world-class faculty and the Berlin science community.
• Close collaboration and supervision by ESMT professors.
• Successful applicants must have obtained a Master’s in Economics or Business Studies and have performed exceptionally well in their studies.
• Applicants from related fields (such as industrial engineering, statistics, or quantitative social sciences) may also fulfill the admission requirements if they have an interest in economics or business studies.
• ESMT’s PhD program addresses outstanding candidates with a strong desire to conduct their own research projects. Participation is free of charge.
• PhD positions will be offered alongside part-time Research Assistant employment. View current vacancies .
• ESMT offers support to cover the costs related to research, including conferences and overseas visits.
• Awarded degree: PhD or Dr. rer. oec.

PhD curriculum (180 ECTS)

• Methodological and research-oriented training in mandatory course work. 
• Selection of research area and supervisory support. 

60 ECTS from qualification courses, soft skill courses, and presentation of a scientific article.

• Own research, electives, and further development of soft skills and teaching. 
• Participation in seminars and conferences, presentation of dissertations.

120 ECTS for the dissertation and the defense colloquium.

An individual study plan, which determines the selection of courses to be taken, must be agreed upon in writing with the supervisor within two months after enrollment in the PhD Program and approved by the PhD Council.

The content of the required coursework should guarantee that ESMT PhD candidates obtain the necessary training to conduct research independently and at the highest levels. This typically requires the mastering of a broad set of research methods commonly applied in the area of management.

Integration into Berlin's scientific community

You can choose from a variety of PhD courses typically (but not only) offered by the  Berlin School of Economics (BSoE) . The courses are not limited to management science, allowing candidates to choose from topics in economics, machine learning, analytics, and data science.

ESMT is a founding member of the Berlin-wide structured doctoral BSoE PhD program which candidates can choose to enroll in as an alternative to the ESMT PhD program.

For candidates enrolled in the BSoE program, ESMT offers financial support through stipends and travel allowances. Applications for the BSoE program must be made directly via the Online Portal .

Stefan Wagner

Earn your phd at esmt berlin.

To learn more about our exciting PhD program, please use the below link to download our brochure.

Develop your research skills, mostly in the quantitative areas, currently offering a series of seminars on using generative AI for various research tasks.

PhD students & graduates

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UNIVERSITY OF COLOGNE

Faculty of management, economics and social sciences cologne graduate school in management, economics and social sciences, phd programme in economics.

The Cologne Graduate School (CGS) in Management, Economics, and Social Sciences offers a doctoral (PhD) programme with an integrated M.Sc. Economic Research. It consists of two stages:

• The first stage of the programme is the two-years M.Sc. Economic Research. It prepares students for high-level research in economics. It is fully taught in English.
• In the second stage, PhD students work on research projects for their dissertation and interact with other PhD students and faculty members in workshops, seminars, and summer schools.

The PhD Programme in Economics offers education, funding and supervision for research in all major fields of economics and related fields in management. It is a challenging and rigorous full-time programme in a friendly, supportive environment dedicated to excellence in teaching and research. Taking part in the graduate programme prepares students for academic positions at universities and institutions around the world as well as for top-level positions in internationally-orientated companies.

Applications for the graduated program can be either for the first stage (bachelor students) or for the second stage (master students). We invite applications of outstanding students who are close to finishing a bachelor's or master's degree in economics or a related discipline who count among the top 10% of graduates in their study programme.

Students with a bachelor's degree will enter the integrated graduate programme in the first stage via the M.Sc. Economic Research and can transfer to the second PhD stage after successful graduation of the M.Sc. Economic Research.

Students already holding a research-oriented master degree can directly enter the second stage. Students with a related master's degree without an explicit research focus (e.g. in economics, econometrics, finance, business administration, or math) attend one year of course-work before entering the second stage.

We offer funding and facilities for students at all levels. Specifically, grants are available for accepted students holding a master degree and for highly qualified applicants with a bachelor´s degree. Students who successfully passed the course-work and are admitted to the second stage can receive funding through CGS scholarships, positions financed through the excellence cluster ECONtribute or doctoral positions at the departments and chairs of the Faculty.

These doctoral students are also equipped with a workspace and computer devices at the beginning of second stage. Shared rooms with computer devices are also available for students in the first stage. Student housing is available for national and international bachelor and master students moving to Cologne. For more information regarding housing please consult the webpages of the Kölner Studierendenwerk .

The PhD programme in Economics is part of the Cologne Graduate School in Management, Economics, and Social Sciences (CGS). It closely cooperates with the following research centers at the University of Cologne and Key Research Initiatives of the Faculty of Management, Economics and Social Sciences:

Cluster of Excellence “ECONtribute: Markets and Public Policy”: The Cluster brings together outstanding researchers from economics and neighboring disciplines – management, psychology, political science and law – from the Universities of Cologne and Bonn, the Behavior and Inequality Research Institute (briq) and the Max Planck Institute for Research on Collective Goods, with the goal of establishing a leading international research center on markets & public policy.

Center for Social and Economic Behavior (C-SEB): The Center for Social and Economic Behavior (C-SEB) at the University of Cologne brings together Cologne-based researchers and international colleagues from economics, management science, and psychology who investigate the fundamental principles and behavioral mechanisms that affect social and economic behavior.

Behavioural Management Science (BMS): The WiSo Key Research Initiative Behavioural Management Science (BMS) brings together researchers that apply methods of behavioural economics and applied microeconometrics to advance our understanding of how management practices influence the behaviour of people in organisations and affect organisational performance.

Be part of the Cologne experience!

Structured Doctoral Programs

Each of our structured doctoral programs offers a comprehensive and cross-disciplinary curriculum designed to help you realize your full potential and prepare for a successful career. The programs include innovative, personalized advising with regular progress checks, as well as extensive opportunities to broaden your research network and connect with peers in your field.

The University of Bonn offers a wide range of funding opportunities, which have been summarized for you on this page, divided into the following categories:

Bonn International Graduate Schools (BIGS)

Phd programs within our cluster of excellence.

• Structured Doctoral Programs by Discipline 

Third-Party Funded Programs

Doctoral education at the highest level: BIGS enable doctoral studies in outstanding research contexts with attractive international collaborations and a qualification program tailored to the needs of graduate students.

Located at the Hausdorff Center for Mathematics and supported by Germany’s Excellence Initiative, BIGS-M  is home to all of the University’s doctoral candidates in mathematics and contributes to Bonn’s excellent international reputation in the field.

BGSE offers a structured program that is tailored to the needs of doctoral candidates, including an internationally recognized research network.

Supported by Germany’s Excellence Initiative and jointly administered by the renowned Physics Institutes at the Universities of Bonn and Cologne, BCGS  offers doctoral studies through an integrated honors program.

Home to an international community of talented biomedical scientists, BIGS DrugS 6 6 is the hub for doctoral candidates from pharma research institutes within the University’s Faculty of Mathematics and Natural Sciences and Faculty of Medicine.

BIGS-OAS offers a wide range of courses within a research context, focused on the cultures and societies of Asia and Asia Minor.

BIGS Neuroscience provides a top-level, internationally competitive program in this rapidly growing field.

BIGS CPS's interdisciplinary approach combines medical, agricultural and pharmaceutical research.

BIGS Chemistry 10 doctoral candidates enjoy an exceptional and ambitious program covering all fields of chemistry.

This three-year doctoral program  is offered in conjunction with the University’s ImmunoSensation Cluster, which is funded by Germany’s Excellence Initiative.

Part of the University of Bonn’s Center for Development Research, BIGS-DR   trains students for an international career in development cooperation, policy or research through a combination of academic study and intensive tutorship.

The BIGS Land and Food combines the research at the agricultural Faculty with an interdisciplinary study program.

Clusters of Excellence stand for international and interdisciplinary elite research and offer young scientists excellent funding and career conditions. The University of Bonn currently has six clusters of excellence, more than any other university in Germany, and thus opens up a broad spectrum of possible research topics to doctoral candidates. Here you will find an overview of the university's clusters of excellence.

PhD Programs within our Excellence Cluster

The goal of the Hausdorff Center of Mathmatics is to identify and address mathematical challenges of the 21st century, to advance groundbreaking fundamental mathematical research worldwide, and to develop the mathematical methods and tools required by science and society.

Part of the Hausdorff Center is also a graduate school: The Bonn International Graduate School of Mathematics (BIGS-M) hosts all doctoral students of mathematics and contributes to the outstanding international reputation of the university in this field. The duration of the program is usually 3 years, and the doctorate (Dr. rer nat.) can be earned as a degree.

More information: https://www.bigs-math.uni-bonn.de/de/studies/ 14 15 15

ImmunoSensation2 aims to continue the success story of the existing ImmunoSensation cluster. While the emphasis so far has been on fundamental research in particular of the innate immune system, now the mechanisms of immune intelligence are to be uncovered, i.e. the question of how the body succeeds in adapting immune responses to specific situations and then remembers this in order to be optimally prepared for similar challenges in the future. The cluster's graduate school, the Bonn International Graduate School Immunosciences and Infection offers a structured, three-year doctoral program.

You can find further information about this program here: 

https://www.immunosensation.de/opportunities/young-scientists

Until today, dependency studies has almost exclusively dealt with slavery on the American continent or in antiquity. The Cluster of Excellence "Bonn Center for Dependency and Slavery Studies (BCDSS)" aims to broaden this perspective in terms of content, space and time. Within the framework of the cluster, a structured doctoral program with a duration of 4 years is offered.

Further information can be found at:  https://www.dependency.uni-bonn.de/en 15 16

Over the last few decades, computer hardware has become smaller and smaller, but their technology remains more or less the same. Slowly, this development is reaching its limits.Thus, we need new technologies that satisfy our growing hunger for even more powerful hardware.

Quantum physics could be a solution.

Together with the University of Cologne and the RWTH Aachen, Bonn researchers want to work on making this new technology usable. To achieve this, quantum bits or even qubits - the quantum counterpart to our previous bits - quantum communication channels that build networks and error correction methods have to be explored from the ground up. As part of the Excellence Initiative, the Bonn-Cologne Graduate School of Physics and Astronomy (BCGS) offers a doctoral program with an integrated honors program.

Further information can be found at:  http://www.gradschool.physics.uni-bonn.de/. 4 4

The ECONtribute researches the functioning of markets as well as reasons for their failure. In doing so, the cluster goes beyond traditional analyses by systematically combining model-based theoretical approaches and behavioral explanatory models while incorporating legal and political frameworks. Within the cluster, the Bonn Graduate School of Economics (BGSE) offers doctoral students a tailored structured doctoral program that includes an internationally recognized research network.

Further information can be found at:  https://www.bgse.uni-bonn.de. 3 3

Increasing agricultural production despite limited land while reducing the ecological footprint of agriculture - this is one of the challenges of our time. For this reason, the University of Bonn and Forschungszentrum Jülich are jointly developing methods and new technologies to observe, analyze, better understand and more specifically treat plants. The cluster's graduate school, the Theodor Brinkmann Graduate School, offers an interdisciplinary study program to master's students and doctoral candidates at the Faculty of Agriculture.

More information: https://www.phenorob.de/ .

The Third-Party Funded Programs at the University of Bonn offer structured doctoral studies on selected research topics. They enable close networking among doctoral students conducting research on related topics.

Bonn International Graduate School of Mathematics (BIGS-M) 2 17 18 18 Located at the Hausdorff Center for Mathematics, BIGS-M provides an umbrella for all Bonn PhD students in mathematics. Thus, the BIGS-M contributes to the excellent national and international reputation of mathematics at Bonn.

Bonn International Graduate School Immunosciences and Infection The BIGS Immunosciences and Infection is a structured 3-year PhD program in conjunction with the ImmunoSensation Cluster/Bonn. The ImmunoSensation Cluster is part of the Excellence Strategy.

DFG Research Training Group "Gegenwart/Literatur. Geschichte, Theorie und Praxeologie eines Verhältnisses" (GRK 2291) [only in German]

The Research Training group supported by the DFG  aims at the exploration and analysis of the constitutive dimensions of the concept of contemporary literature.  

DFG international Research Training Group "Myeloid antigen presenting cells and the induction of adaptive immunity" GRK (2168) 19 19 19 19 The DFG-funded project is a cooperation of the University of Bonn and the University of Melbourne. The principal research focus is the intersection between innate and adaptive immunity in the context of infection.

DFG Research Training Group  "The Macroeconomics of Inequality"  ( GRK 2281) 20 20 20 20 The research program focuses on the macroeconomic aspects of inequality, an aspect of first-order importance for society. 

DFG Research Training Group "Template-designed Organic Electronics (TIDE)" (GRK 2591) 21 21 21 The Graduate Program 'Template-Designed Optoelectronic Devices' (TIDE) aims to provide comprehensive doctoral education in the field of Organic Electronics (OE) to meet the requirements of highly qualified and multidisciplinary professionals. 

DFG Research Training Group "Tools and Drugs of the Future - Innovative Methods and New Modalities in Medicinal Chemistry" (GRK 2873)

The goal of the RTG " Tools and Drugs of the Future" is to modernize medicinal chemistry and train a new generation of medicinal chemists and researchers at the interface with interconnected disciplines. In addition, the projects are intended to contribute to the development of new drug substances.

Integrated Research Training Group at the DFG Collaborative Research Centre "Synaptic Micronetworks in Health and Disease" (SFB 1089) 22 22 27 27 Located at the newly inaugurated SFB 1089 on neuronal networks, the Integrated Research Training Group offers a structured graduate program for all doctoral researchers at the Centre.

Integrated Research Training Group at theDFG Collaborative Research Centre "Future Rural Africa" (SFB/TR 228) The integrated research group is investigating the relationship between land use change and shaping the future in rural africa in a total of 14 subprojects.

Integrated Research Training Group at the DFG Collaborative Research Centre "Open System Control of Atomic and Photonic Matter" (SFB/TR 185) 24 The collaborative research centre Oscar will explore the physics of open systems.

Integrated Research Training Group at the DFG Collaborative Research Centre "Aortic Diseases" (SFB/TR 259) 25 The aim of this research initiative is to better understand the molecular and cellular mechanisms of resident and non-resident cells in aortic diseases.

Integrated Research Training Group at the DFG Collaborative Research Centre "Regional Climate Change: Disentangling the Role of Land Use and Water Management" (SFB 1502) The SFB combines the strengths of the University of Bonn and its project partners to answer one of the most difficult questions in understanding climate change.

Integrated Research Training Group at the DFG Collaborative Research Centre "Brown and Beige Fat - Organ Crosstalk, Signaling and Energetics (BATenergy)" (SFB/TRR 333) The CRC investigates metabolism/diabetes and focusses on brown adipose tissue. 

One Health and Urban Transformation

The NRW Forschungskolleg One Health and Urban Transformation is a transdisciplinary graduate school that aims to find interventions to achieve optimal health for humans, animals, plants and the environment with a special focus on developments in NRW, Saõ Paulo, Accra and Ahmedabad.

International Max Planck Research School Moduli Spaces 27 27 In cooperation with the University of Bonn, the renowned Bonn Max-Planck-Institute for Mathematics offers a PhD program with a special focus on the study of moduli.

International Max Planck Research School for Astronomy and Astrophysics 28 28 In cooperation between the Max-Planck Institute for Radio Astronomy and the Universities of Bonn and of Cologne, the Research School facilitates 3 years of PhD studies with a curriculum tailored to the individual student.

International Max Planck Research School for Brain and Behavior 29 The IMPRS for Brain & Behavior is a cooperation between the Max Planck Institute for Neurobiology of Behavior - caesar, the University of Bonn and the German Center for Neurodegenerative Diseases (DZNE) in Bonn

International Max Planck Research School - Recharge IMPRS-RECHARGE focuses on interdisciplinary research between chemistry and physics with an emphasis on catalytic mechanisms, physical-chemical analysis and energy topics. Scientific challenges shall be looked at from different angles. Furthermore the combination of theory and practice is a vital aim of the IMPRS-RECHARGE.

Marie Curie Innovative Training Network "Macro and Microplastic in Agricultural Soil Systems“ (SOPLAS) The SOPLAS project will assemble a multidisciplinary team to study the nexus of plastic–agriculture–soil. It will also train a new generation of leading experts. The project aims to identify the plastic cycle within agricultural soil systems and support the development of environmental policies related to mitigating the impact of plastics. The findings will advance our knowledge about the sustainable use of plastics in European agriculture.

Marie Curie Innovative Training Network "Early Stage Researchers EDUCational Program on Factor VIII Immunogenicity“ (EDUC8 ) 32 37 The EDUC8 program is a multidisciplinary training program with exposure of the enrolled ESRs to a core common educational package and development of individual PhD researchprojects dedicated to decreasing the societal burden associated with the development of anti-FVIII antibodies in Europe.

Marie Curie Innovative Training Network "Research and Training in Early Life Nutrition to Prevent Disease" (GROWTH)

GROWTH is an Innovative Training Network that aims to train young business-oriented researchers in developing pathological insights, biomarker diagnostics and personalized nutritional interventions for intestinal failure in neonates and preterm infants.

Tools4Teams - "Research Training to Design and Implement Tools Supporting Safe Teamwork in Healthcare"

The Tools4Teams research project will prepare the next generation of teamwork experts to contribute new insights and smart technologies for safe and effective care. Tools4Teams brings together expertise from social and technical sciences, human-centered design, education, and clinical specialties.

Trinational Graduate College "Mass and Integration in Antique Societies" [in German/French] Supported by the Deutsch-Französische Hochschule since 2011, the tri-national Graduate School in Ancient History offers curriculum events in Bonn, Berne, and Strasbourg.

Structured Doctoral Programs by Discipline

Find the right structured doctoral program at the University of Bonn in your discipline here:

• Cross-Disciplinary Options
• Medicine and Life Sciences
• Mathematics and Natural Sciences
• Agriculture

Faculties at the University of Bonn work together to design interdisciplinary programs that combine key perspectives and offer unique insights.

Cross-Disciplinary Programs

Bonn International Graduate School for Development Research (BIGS-DR) 42 Unique in Europe, BIGS-DR links perspectives from the Faculties of Philosophy, Agriculture, and Law and Economics – with an international focus.

Bonn International Graduate School of Neuroscience (BIGS Neuroscience) 8 8 A collaboration between the University’s Faculty of Medicine and Faculty of Mathematics and Natural Sciences, as well as external partners, BIGS Neuroscience offers a medical program alongside five research areas in medicine.

SciMed Doctoral College 43 42 The Doctoral College offers scientific training for students in medicine and dental medicine, leading to a dual Dr. med. and Dr. med. dent. degree.

Researchers at the University of Bonn explore a wide variety of issues in economics, including game theory, applied microeconomics, monetary and international macroeconomics, contract theory, labor economics and finance.

Economics Programs

Bonn Graduate School of Economics (BGSE) BGSE offers a structured program that is tailored to the needs of doctoral candidates, including an internationally recognized research network.

DFG Research Training Group "Die Macroeconomics of Inequality" (GRK 2281) The research program focuses on the macroeconomic aspects of inequality, an aspect of first-order importance for society. 

Law Programs

Graduate School of Law and Political Science Department of Law The Graduate School of the Faculty of Law and Political Science was founded in the summer semester of 2018 and supports the doctoral students in preparing their doctoral studies.

The University of Bonn’s Faculty of Medicine offers doctoral programs in medical biochemistry, neurosciences and pharmacology. With the exception of the SciMed Doctoral College, all programs are administered in cooperation with the University’s Faculty of Mathematics and Natural Sciences.

Cross-Disciplinary Program

SciMed Doctoral College The Doctoral College offers scientific training for students in medicine and dental medicine, leading to a dual Dr. med. and Dr. med. dent. degree.

Neuroscience

Bonn International Graduate School of Neuroscience (BIGS Neuroscience) BIGS Neuroscience provides a top-level, internationally competitive program in this rapidly growing field.

Synaptic Micronetworks in Health and Disease (SFB 1089) Supported by the German Research Foundation (Deutsche Forschungsgemeinschaft – DFG) collaborative research centers, this integrated research training group works to identify fundamental rules that govern neuronal behavior at the network level and translate network dynamics to mammalian and human behavior.

International Max Planck Research School for Brain and Behavior A joint venture of the University of Bonn, the Max-Planck-associated Center of Advanced European Studies and Research, the Max Planck Florida Institute for Neuroscience, and Florida Atlantic University, this graduate school offers a complete doctoral and research program in the neurosciences.

Marie Curie Initial Training Network "modelling and pRedicting Human decision-making Using Measures of subconscious Brain processes through mixed reality interfaces and biOmetric signals" (RHUMBO) RHUMBO proposes using measures of subconscious brain processes through the use of mixed reality technologies (MRT) and advanced biometric signals processing as a new paradigm to improve the knowledge that implicit brain processes have in human decision-making.

Pharma Research

Bonn International Graduate School of Drug Sciences (BIGS DrugS) Home to an international community of talented biomedical scientists, BIGS DrugS is the hub for doctoral candidates from pharma research institutes within the University’s Faculty of Mathematics and Natural Sciences and Faculty of Medicine.

Pharmacology of 7TM-Receptors and Downstream Signaling Pathways (GRK 1873) Supported by DFG, this group combines expertise in the areas of pharmacology and pharmacy.

Bonn International Graduate School of Immunosciences and Infection

This three-year doctoral program is offered in conjunction with the University's ImmunoSensation Cluster , which is funded by Germany’s Excellence Initiative.

DFG Research Training Group "Myeloid antigen presenting cells and the induction of adaptive immunity" GRK (2168) The DFG-funded project is a cooperation of the University of Bonn and the University of Melbourne.

At the University of Bonn’s Faculty of Arts, you’ll find a highly international environment with students and researchers in a wide range of fields.

German Studies, Comparative Literature and Culture 

Structured Doctoral Program in German Studies (SPP) [website in German] Taught in German, the SPP supports doctoral candidates’ initiatives within the Institute for German, Comparative Literature and Cultural Studies.

German-Italian Doctoral College [website in German] Taught in German, this three-year grant program provides structured doctoral studies for researchers in German and Italian, with time in both Bonn and Florence.

History and Ancient History 

Mass and Integration in Antique Societies [website in German and French] Supported by Franco-German University and taught in German and French, this trinational doctoral program includes study in Bonn; Berne, Switzerland; and Strasbourg, France.

Oriental and Asian Studies Bonn

International Graduate School of Oriental and Asian Studies (BIGS-OAS) BIGS-OAS offers a wide range of courses within a research context, focused on the cultures and societies of Asia and Asia Minor.

Romance Studies

Italian Studies [website in German and Italian] Offered in cooperation with the Universities of Florence and Paris-Sorbonne IV, this trinational doctoral program is taught in German and Italian.

Structured DPhil program at the Faculty of Arts The program supports qualified doctoral candidates from all disciplines in their doctoral projects. It provides the opportunity for networking, interdisciplinary exchange in diverse social sciences and humanities subjects, progress monitoring and financial support for travel, workshops or research funding as part of the doctorate.

European Founding Myths in Literature, Arts and Music [website in German, French and Italian] This trinational program is jointly organized by the Universities of Bonn, Florence and Paris-Sorbonne IV and taught in German, French and Italian.

Bonn International Graduate School for Development Research (BIGS-DR) Part of the University of Bonn’s Center for Development Research, BIGS-DR trains students for an international career in development cooperation, policy or research through a combination of academic study and intensive tutorship.

The University’s Faculty of Mathematics and Natural Sciences offers numerous externally funded doctoral programs in areas including mathematics and informatics, physics, biology, pharmacology and molecular biomedicine.

Programs in neuroscience, pharma research, immunoscience, and infection and molecular biomedicine are offered in cooperation with the Faculty of Medicine.

Mathematics

Bonn International Graduate School of Mathematics (BIGS-M) 2 2 Located at the Hausdorff Center for Mathematics, BIGS-M is home to all of the University’s doctoral candidates in mathematics and contributes to Bonn’s excellent international reputation in the field.

International Max Planck Research School on Moduli Spaces 53 53 This program includes courses, seminars and activities focused on the geometric spaces whose points represent fixed algebro-geometric objects (or isomorphism classes of such objects).

Physics und Astronomy

Bonn-Cologne Graduate School of Physics and Astronomy (BCGS) 4 4 Supported by Germany’s Excellence Initiative and jointly administered by the renowned Physics Institutes at the Universities of Bonn and Cologne, BCGS offers doctoral studies through an integrated honors program.

International Max Planck Research School of Astronomy and Astrophysics 55 55 This program offers a broad spectrum of topics in observational and theoretical galactic and extragalactic astrophysics, observational and theoretical cosmology, and fundamental physics – using astronomical tools and instrumentation.

Leibniz Graduate School on Genomic Biodiversity Research Based at Bonn’s Alexander Koenig Research Museum, this school is focused primarily on insect genome evolution.

Bonn International Graduate School of Chemistry (BIGS Chemistry) 57 57 BIGS Chemistry offers an internationally competitive doctoral program and opportunities to perform cutting-edge research.

Neurosciences

Bonn International Graduate School of Neuroscience (BIGS Neuroscience) 8 8 BIGS Neuroscience provides a top-level, internationally competitive program in this rapidly growing field.

Synaptic Micronetworks in Health and Disease (SFB 1089) 22 22 Supported by DFG collaborative research centers, this integrated research training group works to identify fundamental rules that govern neuronal behavior at the network level and translate network dynamics to mammalian and human behavior.

International Max Planck Research School for Brain and Behavior 29 29 The IMPRS for Brain & Behavior is a cooperation between the Max Planck Institute for Neurobiology of Behavior - caesar, the University of Bonn and the German Center for Neurodegenerative Diseases (DZNE) in Bonn.

Bonn International Graduate School of Drug Sciences (BIGS DrugS) 6 6 Home to an international community of talented biomedical scientists, BIGS DrugS is the hub for doctoral candidates from pharma research institutes within the University’s Faculty of Mathematics and Natural Sciences and Faculty of Medicine.

Pharmacology of 7TM-Receptors and Downstream Signaling Pathways (GRK 1873) 18 18 Supported by DFG, this group combines expertise in the areas of pharmacology and pharmacy.

BIGS Immunoscience and Infection A structured, three-year doctoral program, IITB is offered in conjunction with the ImmunoSensation Cluster at the University of Bonn.

Doctoral candidates in the field of agriculture may choose to study through the Faculty of Agriculture’s Theodor Brinkmann Graduate School or earn their degree through the University of Bonn’s Center for Development Research.

Agriculture Programs

Bonn International Graduate School for Land and Food (BIGS Land and Food)  Founded in 2008, the Brinkmann School is home to master's and doctoral candidates in the Faculty of Agriculture, combining research with an interdisciplinary study program.

Bonn International Graduate School for Development Research (BIGS-DR) 12 Part of the University of Bonn’s Center for Development Research 59 , BIGS-DR trains researchers for an international career in development cooperation, policy or research through a combination of academic study and intensive tutorship.

Dr. Robert Radu

[email protected]

+49 228 73-60222

Poppelsdorfer Allee 47

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Additional Qualification: Doctorate plus

Expand your skills with our training program Doctorate plus.

Learn about the numerous funding opportunities and grants for doctoral students.

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Doing a PhD in Germany

Germany’s reputation as an outstanding research destination continues to attract the world’s finest minds. In 2014 an incredible Number of 85,000 people chose Germany to write their dissertations or join one of our growing number of doctoral research teams. Discover your best route to a PhD in Germany, including financing options and advice on how to prepare for your research stay.

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The University of Mannheim is one of the leading higher education institutions in Germany. This is illustrated by the university' s top placements in national and international university rankings . The Social Sciences and Economics, in particular, regularly achieve top positions. This success is also due to the university' s close cooperation with numerous renowned research institutions in Germany and around the world.

First-class education in structured doctoral programs

Formerly funded by the Excellence Initiative, the Graduate School of Economic and Social Sciences (GESS) offers its doctoral students an English-language program with continuous funding. In addition, pursuing a doctorate with GESS includes research stays at internationally recognized universities and assistance in starting a career in academia.

Research that benefits society

A practical orientation and the transfer of knowledge to society are major goals of the University of Mannheim. This gives doctoral students the opportunity to conduct applied research and enables them not only to contribute to promoting science but also to benefiting society.

Powerful doctoral students' councils

The University of Mannheim attaches great importance to involving the doctoral students' councils in the university’s decision-making processes. The representatives of the councils therefore communicate the interests of the doctoral students in all important committees and are also in close exchange with the President's Office and the Central University Administration.

Living in Mannheim

Those who like an international and vibrant atmosphere will feel right at home in Mannheim . The city combines tradition and modernity in a unique way and offers a rich cultural and leisure life. Inhabitants from more than 150 nations, a baroque palace as its campus and Germany's first night mayor – Mannheim is special in every respect.

Please note:

Which path to a doctorate is suitable for you – an individual doctorate at a chair or a doctorate within a structured doctoral program – largely depends on your field of study and the preference of the respective chair or your supervisor: At the University of Mannheim, it is possible to pursue a doctorate in a structured doctoral program in Economics, Business Administration, Political Science, Psychology, Sociology, and Mathematics in Business and Economics. In addition, all schools and departments – with the exception of the Department of Economics – generally also offer the possibility of pursuing an individual doctorate directly at a chair. If you are interested in pursuing a doctorate at the University of Mannheim and already have a professor in mind as your supervisor, we strongly recommend that you establish contact at an early stage and find out about the possible paths to a doctorate offered at the respective chair.

Pursuing a doctorate

Doctorate at a Chair

The “traditional” doctorate at a chair is recommended for all those who wish to have as much freedom and independence as possible. We have compiled the most important information on this way of pursuing a doctorate for you.

Stuctured Doctoral Programs

Doctoral programs provide structured academic training with fixed periods of study, team supervision, and secure funding – perfect for all those who value clear structures and security.

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Doctoral degrees at FAU

Doctoral degrees and postdoctoral studies

As an internationally renowned research university FAU has excellent opportunities for postgraduate and postdoctoral study. There are nine doctoral titles which can be obtained on completion of a doctoral degree according to the subject, and postdoctoral candidates can also achieve a Habilitation, which is generally associated with the right to teach at a German university. Supporting young researchers is a priority at FAU. After all, excellent doctoral candidates are one of the University’s most valuable assets. If you have an above-average or excellent postgraduate degree and the dedication and creativity required for independent academic research, FAU welcomes your proposal for doctoral research.

For further information visit the website of our Graduate School .

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PhD students

Here you find a  selection of funding programmes  for international PhD students by various funding organisations. For more funding opportunities please search our  funding databases .

Selection of funding programmes (alphabetical order):

Collaborative Research Centres

Collaborative Research Centres offer PhD students opportunities to pursue an outstanding research programme that crosses disciplinary, institutional, departmental and faculty boundaries.

DLR-DAAD Research Fellowships

Outstanding PhD students can complete a doctorate in the fields of space, aeronautics, energy, transport, digitalisation and security at an institute of the German Aerospace Center (DLR).

ERA Fellowships – Green Hydrogen

This programme provides funding for a research project or continuing academic training in the field of GH2.

Green Talents

The winners of this competition are invited to visit leading German institutions of environmental and sustainability research. Furthermore, Green Talents awardees can complete a research stay at an institution of their choice.

Individual Doctoral Projects at Fraunhofer Institutes

PhD students can complete a doctorate while working on exciting projects in cutting-edge areas of technology involving state-of-the-art equipment at a Fraunhofer institute.

Individual Doctoral Projects at Leibniz Institutes

PhD students can complete a doctorate while working in an excellent interdisciplinary research environment at a Leibniz institute.

Individual Doctoral Projects at Max Planck Institutes

PhD students can complete doctoral projects within the scope of research work conducted at a Max Planck institute.

International Max Planck Research Schools

PhD students can complete a doctorate in a structured programme offering excellent research conditions at one of the 68 International Max Planck Research Schools (IMPRS).

International Visiting Researchers at Max Planck Institutes

International researchers can conduct independent research at a Max Planck institute. The programme aims to strengthen cooperation and promote networking between Max Planck institutes and their international partners.

Leibniz Graduate Schools and Leibniz ScienceCampi

PhD students will find ideal conditions for completing a doctorate in a structured doctoral programme that can be pursued at either a Leibniz institute or a partner university.

Marie Skłodowska-Curie Doctoral Networks

PhD students receive structured doctoral training within these networks, which are formed jointly by different European institutions.

Max Planck Schools

The Max Planck Schools are a joint graduate programme run by German universities and research organisations. They offer ambitious bachelor’s and master’s graduates excellent conditions within a unique scientific network, and provide structured and fully funded PhD programmes in three interdisciplinary research fields: cognition, matter to life and photonics.

Munich Aerospace: PhD Scholarships

Munich Aerospace PhD scholarships allow talented young scientists to focus exclusively on the research work at hand and on attaining a timely doctoral degree.

PhD Fellowships

The Boehringer Ingelheim Fonds awards PhD Fellowships to outstanding early career researchers who wish to carry out an ambitious scientific PhD project in basic biomedical research at an internationally leading laboratory.

Research Grants – Bi-nationally Supervised Doctoral Degrees/Cotutelle

The aim of this programme is to support doctoral degrees at the student’s home university with integrated research phases in Germany.

Research Grants – Doctoral Programmes in Germany

International PhD students can realise a doctoral project (individually or in a structured programme) at a state or state-recognised German university or non-university research institution.

Research Grants – One-Year Grants

International doctoral candidates can carry out research primarily as part of a doctoral project at a state or state-recognised university or non-university research institution in Germany.

Research Training Groups

Research Training Groups are set up by universities and pursue a focused research programme. They offer a structured PhD programme relating to an innovative, peer-reviewed research topic.

RISE Professional

This programme enables students in the fields of natural sciences, engineering or computer science from North America, the United Kingdom or Ireland to gain serious practical experience in a German company or research institution with strong industry ties.

Travel Grants

The Boehringer Ingelheim Fonds (BIF) awards travel grants to PhD students and postdoctoral researchers from all over the world.

More information:

Search funding databases.

More funding programmes are available for international researchers. For more information you can either search the funding databases or go straight to the websites of the funding organisations.

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Doctoral degree in Public Health or PhD in Health Data Sciences

In the area of Public Health, you have different options:

• PhD within the framework of the structured PhD program Health Data Sciences
• Individual doctorate (Dr. med, Dr. rer. medic.), supervised by IPH staff
• PhD (Dr. PH) in the doctoral program of the TU Berlin, department of Management in Healthcare

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• Academic Programs .
• Doctorates and PhD

Doctorates and PhD Programs

PhD Health Data Sciences The newly established PhD program Health Data Sciences is designed for qualified young scientists who would like to deepen their methodological knowledge in the fields of biostatistics, epidemiology, meta-research, population health science, or public health and further expand their competence in research and teaching. Information on the structured PhD program in Health Data Sciences (HDS) can be found on the website . 

Individual doctorate Students studying medicine at Charité - Universitätsmedizin Berlin or at another institution can apply for a doctorate at the IPH. Unfortunately, however, our staff capacities for supervising doctoral students at the IPH are limited. Publications in scientific journals are the declared goal of an individual doctorate at the IPH. If you are interested in an individual doctorate in the field of Public Health / Epidemiology, please send your request with a d etailed description of the study project and your curriculum vitae to Dr. Toivo Glatz .

Doctorate (Dr. Public Health) Please refer to the web pages of the Department of Management in Healthcare at the TU Berlin.

For general information on the various doctoral opportunities at the Charité, please visit the website of the Promotion Office .

Doctoral candidate takes third prize in NJWEA Poster Competition

Posted in: Awards & Recognition , Student Research , Students

Odera Richard Umeh, a PhD student in the Environmental Science and Management program, has recently achieved a noteworthy milestone by securing a third-place award in the prestigious New Jersey Water Environment Association (NJWEA) Student Poster Competition. The event, which took place on May 8, 2024 in Atlantic City, NJ, brought together brilliant minds from across the field to showcase their groundbreaking research.

Odera’s captivating presentation on the statewide occurrence and spatial distribution of per- and poly-fluoroalkyl substances (PFAS) in New Jersey groundwater systems under the supervision of Dr. Duke Ophori left a lasting impression on the judges and his fellow participants. Odera is diligently pursuing cutting-edge research on the silent invasion of PFAS into groundwater systems. His work is driven by a passion for developing sustainable solutions to the challenges posed by PFAS in New Jersey ground- and drinking water systems. The recognition bestowed upon him by the NJWEA is a testament to his exceptional abilities as a researcher and his unwavering commitment to making a positive impact in the field of water resources management.

SKEMA enters top 25 of the world's best executive education schools

Skema business school has strengthened its standing in the financial times executive education 2024 ranking by securing the coveted position among the top 25 business schools globally..

​​Ranked as the 22nd best school in the world among the 90 selected, SKEMA moved up 8 places in the "Custom" programmes ranking.

The school scored the highest in two major criteria: international clients (ranked 8th worldwide) and faculty diversity (ranked 6th worldwide).

SKEMA's presence in this esteemed international ranking reflects the school's close ties with companies, its experts' capacity to empower managers and their teams, and to support the transformation of organisations worldwide in an environment of constant transition.

"Our coaching solutions aim to develop both talents and teams to generate sustainable performance and effectively meet new economic and social challenges in a global world," explains Pascale Viala, director of SKEMA Business School's Corporate Office.

Last year, SKEMA appeared for the first time in the "Open" programmes ranking, and this year moved up two places to 65th position among 80 institutions worldwide.

See the ranking on the FT website ​

SKEMA Business School

Global bba, esdhem, master in management (pge), mastère spécialisé®, masters of science, executive education, executive mba, doctorate, phd/dba….

Master of Science in Management – International Triple Degree ( Master / Hauptfach )

Zum inhalt springen, beschreibung des studienfachs, fakten auf einen blick, bewerbung und zulassung, ihr weg zum studienplatz, der studiengang im detail, lmu munich school of management - fakultät für betriebswirtschaft.

The M.Sc. in Management – International Triple Degree is a two-year management course, offered as a joint program of Loyola University (New Orleans, USA), SKEMA Business School (Paris, France) and the LMU Munich School of Management.

During the first semester between August and December, students study at Loyola University New Orleans, where they acquire knowledge in basic management subjects like financial and managerial accounting, organizational behavior and leadership, strategic marketing, managerial economics and statistics, and ethics and social justice. Modules will be accompanied by career management offers.

Between January and May, the students spend their second semester on the SKEMA campus in Paris where they will pursue advanced courses in corporate finance, innovation and entrepreneurship, international project management, strategic stakeholder management and supply chain management.

During their third semester from June to October at the Ludwig-Maximilians-Universität München, students will study strategic communication, data-based decision making, competitive strategy and financial risk management. A consulting-project will be offered as capstone module.

With the credits acquired, graduates receive the MBA certificate from Loyola University New Orleans. Interested candidates then have the opportunity to write a scientific thesis in the final semester, which entitles them to receive the Diplôme Grande École from SKEMA Business School Paris and the Master of Science in Business Administration from LMU Munich.

More Information: https://www.bwl.uni-muenchen.de/studium/studiengaenge/masterstudiengaenge/international_triple_degree/index.html or http://business.loyno.edu/mba/global-mba-triple-master-program

Tätigkeits- und Berufsfelder

The program qualifies students in particular to take on management tasks in business-oriented professional fields in Germany and abroad.

See link below.

Fee-based, advanced master's degree program.

The current fees can be found on the following page: http://business.loyno.edu/mba/global-mba-program .

Scholarships available.

The prerequisite for enrollment in this master's degree program is proof of a professional university degree (in any field) of at least 180 ECTS credits or an equivalent degree from Germany or abroad and successful participation in an aptitude test. Candidates must show a proof of excellent English. An online application form needs to be completed for the respective winter semester

1. by May 15 for applicants with a first professional degree obtained abroad, or

2. by June 30 for applicants with a first professional degree obtained in Germany (cut-off deadline).

Further information here.

The program includes the following compulsory modules, to which the ECTS points in each case are assigned:

Loyola University New Orleans (U.S.)

• MBA Experience / Orientation - 0 ECTS
• Financial Reporting & Managerial Accounting - 6 ECTS
• Organizational Behavior & Leadership - 6 ECTS
• Strategic Marketing - 6 ECTS
• Managerial Economics & Statistics - 6 ECTS
• Ethics and Social Justice - 6 ECTS
• Career Management - 0 ECTS

SKEMA Business School (Paris, France)

• Corporate Finance - 6 ECTS
• Innovation and Entrepreneurship - 6 ECTS
• Supply Chain Management - 6 ECTS
• International Project Management - 6 ECTS
• Strategic Stakeholder Management – 6 ECTS

LMU Munich (Germany)

• Data based Decision-Making - 6 ECTS
• Strategic Communications - 6 ECTS
• Competitive Strategy/Consulting Project - 6 ECTS
• Financial Risk Management - 6 ECTS

Location of student’s choice

• Final module master thesis - 30 ECTS

Prüfungs- und Studienordnungen

Prüfungs- und Studienordnung der Ludwig-Maximilians-Universität München für den weiterbildenden Studiengang Master of Science in Management – International Triple Degree (2021) vom 12. November 2020 (PDF, 140 KB)

Eignungsverfahrenssatzungen

Satzung über das Eignungsverfahren für den Studiengang Master of Science in Management - International Triple Degree an der Ludwig-Maximilians-Universität München vom 12. Februar 2020 (PDF, 33 KB)

Sprechstunden, Aushänge, Änderungen des Lehrangebots

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Postgraduate research opportunities A digital twin-driven high-precision net shape metal deposition process

• Opens:  Monday 20 May 2024
• Deadline:  Sunday 30 June 2024
• Number of places:  1
• Duration:  3 years
• Funding:  Home fee, Stipend

Eligibility

Candidates are expected to have:

• A first class or upper second-class UK Honours degree, or international equivalent, in engineering, mechanical engineering, materials science and engineering, mathematics, physics, computer science, a closely related field.
• A strong and genuine interest in manufacturing project, as demonstrated by previous degrees, projects and/or work experience
• Familiarity with quantitative research design
• Knowledge of Manufacturing Engineering and computational modeling and simulation approaches (e.g., finite element analysis, Molecular dynamic simulation) and programming approaches(e.g. Matlab, C/C++) or a strong willingness to learn quickly
• A collaborative mindset and an independent working style
• Strong interpersonal skills with a focus on effective communication (written and oral) in English
• Ability to “learn how to learn”

If English isn't your first language, you'll need an IELTS score of 6.5 or equivalent with no individual score below 5.5

We encourage applications from people from all backgrounds and from minority groups that are likely to be under-represented in our academic community. This includes, but is not limited to: Black, Asian and minority ethnic backgrounds, LGBTQIA+ people, people with disabilities, women and people from low-income or immigrant backgrounds. We value the unique perspectives and experiences that diverse candidates bring to DMEM and the university. We are committed to providing a supportive and inclusive workplace where everyone can thrive.

Project Details

The UK industry stands on the threshold of a green transformation to deliver the UK commitment (UKRI Environmental Sustainability Strategy, 2021) to reach ‘net-zero’ carbon emissions as a nation by 2050. However, global consumption of engineering materials is expected to double in the next forty years (OECD: Global Material Recourses to 2060, 2018), while annual waste generation is projected to increase by 70% by 2050 (World Bank What a Waste 2.0 report, 2018).

Remanufacturing is the process of returning a used product to the OEM original performance specification and warranty. It uses 85% less energy than manufacturing, preserves more than 80% of the materials used to manufacture new products and saves more than 0.8M tonnes of CO2 emissions annually (APSRG Remanufacturing report 2014). It will surely make a vital contribution to realize the UK’s industrial strategic goal of clean growth. However, current industrial adoption of remanufacturing is still very low. 80% of moulds/dies are used only once, less than 2% end of life (EoL) parts in the UK are remanufactured (HM Government Building our Industrial Strategy report, 2017), the UK lagging significantly behind its competitors.

For example, Net shape Laser Metal Deposition (LMD) is a major remanufacturing technology. Its goal is to use right amount of material for remanufacturing. Although it has been extensively studied, using a broader range of materials, and maintaining consistency of quality whilst achieving high throughput, is a great challenge for LMD for its wide adoption.

In line with UK net-zero Industrial strategy, the project aims at researching a disruptive digital twin-driven net shape LMD process to enhance material efficiency and throughput (up to 50%) and precision (up to 25%) for the remanufacturing of high-end industrial products.

The principal objectives of the project are to research and develop;

• Smoothed particle hydrodynamics (SPH) model of LM process;
• Real-time digital twin of LMD process;
• Artificial intelligence optimisation model embedded in the digital twin of LMD and
• To implement and demonstrate the effectiveness of the development in industrial settings at NMIS.

Further information

Interviews with qualified and promising candidates will be conducted on a rolling basis until the position is filled.

Funding details

This PhD project is funded by the John Anderson Research Studentship Scheme (JARSS). It covers UK home tuition fees and an annual tax-free stipend. International applicants are strongly encouraged to apply and to seek funding to cover the difference between the home and international tuition fees. Additional funding may be available to cover travel to conferences and academic events, software and equipment costs.

Supervisors

Dr andreas reimer.

Remake Theme Lead Digital Factory

Professor Xichun Luo

Design, manufacturing and engineering management.

Number of places: 1

To read how we process personal data, applicants can review our 'Privacy Notice for Student Applicants and Potential Applicants' on our Privacy notices' web page .

Start date : Oct 2024 - Sep 2025

Programme: Design, Manufacturing and Engineering Management

Any query, please e-mail, Dr. Andreas Reimer, [email protected]  or Prof. Xichun Luo, [email protected] .

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• Strathclyde Business School
• Accounting & Finance
• Hunter Centre for Entrepreneurship
• Management Science
• MBA & General Management
• Strathclyde Executive Education & Development
• Work, Employment & Organisation

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Director Senior Clinical Quality Management Lead (all genders)

Posted 16 May 2024

Darmstadt, Hessen - Germany

Req Id 274601

Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.

Your Role: The Senior Clinical Quality Management (CQM) Lead is responsible for leading the implementation of risk-based quality management for the clinical trials that you are assigned to support. As the Director, these responsibilities include, but are not limited to, leading the identification of critical to quality factors, leading quality risk identification and management, leading definition of QTLs and oversight, leading quality issue management and quality improvement, and leading inspection readiness and preparation. As a core member of the clinical study team, the CQM Lead provides guidance on quality principles and performs consistent oversight to ensure adherence to key quality and compliance standards. The CQM Lead is the key quality management interface with trial teams, including with relevant service providers and other internal quality functions. 

Quality by Design (QbD)/Quality Risk Management​  

• You lead study teams to identify factors (processes and data) that are critical to quality and to proactively identify, prioritize, and manage important risks to quality​. 
• Furthermore, you ensure that operational feasibility and patient/site engagement insights are integrated into QbD/quality risk management plans and the associated clinical study protocol. 
• You will also lead teams to identify study level quality tolerance limits (QTLs), setting proper thresholds, and consistently overseeing and managing performance​ also is part of your role. 

Risk-Based Monitoring

• Support study teams to ensure that monitoring plans are designed to appropriately focus on critical to quality factors and the associated risks.
• Partner to ensure that selected KRIs focus on at-risk areas and complement QTLs.

Inspection Readiness and Preparation ​ 

• In addition, you lead study teams to ensure that inspection readiness is maintained at all times​ and that fit-for-purpose storyboards are proactively prepared to address key issues, events, and decisions. 
• You also partner with R&D Quality to co-lead inspection preparation activities​.  

Who you are:

• Master's degree in Medical or Life Science (or equivalent industry experience) required, PhD preferred. 
• Expert knowledge of Good Clinical Practice. 
• 10+ years’ experience in leading processes related to clinical trial design, planning, start up, conduct, oversight, analysis, and reporting.
• Strong understanding of Quality by Design principles, clinical quality risk management processes, risk-based monitoring, and trial oversight - as required by ICH E6 R2. 
• Ability to lead GCP inspection readiness and preparation activities and support global health authority inspections.    
• Acts as GCP/risk-based quality management Subject Matter Expert for clinical study teams.   
• Strong data insights and analytical skills to identify trends and drive quality / process improvements.  
• Ability to make risk-based decisions based on a robust benefit/risk assessment.  
• Strong knowledge management, project management and change management skills.  
• Ability to work proactively and independently on assigned tasks or projects of increasing complexity and/or sensitivity.  

You can work your magic from either Europe or USA!

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!   Apply now and become a part of our diverse team!

US Equal Employment Opportunities

The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law.  This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.

We are committed to an equitable hiring process for candidates from a diverse range of backgrounds. As part of this commitment, applicants with disabilities may be entitled to reasonable accommodations. Please contact [email protected], if a reasonable accommodation is needed or if you otherwise need assistance to participate in the hiring process.

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If you are a resident of California, Colorado, New York, or Washington, you are eligible to receive additional information about the compensation and benefits, which we will provide upon request. You may contact 855 444 5678 from 8:00am to 5:30pm ET Monday through Friday, for assistance.

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