phd in artificial intelligence germany

Call for Doctoral Students in Artificial Intelligence

Application closes on, job category.

The Finnish Doctoral Program Network in Artificial Intelligence (AI-DOC) is looking for 23 new PhD students to work in fundamental AI and machine learning research and in five application areas. Come do a PhD tackling challenging research questions in a network that fosters industry and multidisciplinary collaboration!

The PhD students joining the program will benefit from:

Ability to do fully-funded, curiosity-driven research with high-quality supervision from experienced researchers

Multidisciplinary environment with experts both in fundamental machine learning research as well as several application areas

Built-in collaboration opportunities with industry

Support for international mobility periods and links to top international partners, through e.g., ELLIS AI network of excellence

Possibility to attend summer schools, research seminars, workshops and networking events

Access to high-end infrastructure, career training and support services

The AI-DOC program is a joint effort of ten Finnish universities, hosted by the Finnish Center for Artificial Intelligence FCAI . The PhD students of the AI-DOC program will work in one of its partner universities (in alphabetical order): Aalto University , LUT University , Tampere University , University of Eastern Finland , University of Helsinki , University of Jyväskylä , University of Oulu , University of Turku , University of Vaasa , Åbo Academi University . The first AI-DOC call last spring was extremely successful and the first cohort of AI-DOC students were selected from that call. In this current autumn call, there are positions still left in all universities except Tampere University, University of Vaasa, and University of Eastern Finland. 

Please see the call website for the full details about the positions and job details before applying. The text below contains only an excerpt of the full call text.

What we offer

The PhD student positions are in the following research areas:

1) Fundamental AI 2) AI in Communications and Signal Processing 3) AI in Health 4) AI in Engineering 5) AI in Language and Speech Technology 6) AI in Society and Business

Industrial collaboration is possible in all the research areas. Jointly designed PhD topics and joint supervision (e.g., between research areas, universities, and together with industry) will provide PhD students with a large pool of expertise and guidance.

All positions are fully-funded. PhD student employment contracts will be made for three years. The terms of employment and the salaries are based on the General Collective Agreement for Universities . The contract includes occupational healthcare.

We are strongly committed to offering everyone an inclusive and non-discriminating working environment and warmly welcome qualified candidates from all backgrounds to apply and particularly encourage applications from women and other groups underrepresented in the field.

What we look for

Successful candidates should have previous experience in machine learning, statistics, artificial intelligence or in another relevant field, demonstrated by success in related studies and ideally also by some publication record. Other merits demonstrating suitability for a doctoral researcher position can also be considered. Candidates should hold (or shortly receive) a Master’s degree in computer science, statistics, electrical engineering, mathematics or in another relevant field. The degree should preferably be completed before the start of the employment. Please note: In this second AI-DOC call we target on new applicants and applicants that were shortlisted in the first AI-DOC call.

Candidates accepted in the doctoral program will need to apply for the study right for doctoral studies at the university where they will be based. Candidates need to get the study right within the probation period of the first 6 months. The requirements for the study right can differ slightly between the universities, but the general prerequisites are:

Master’s degree in a relevant field (completed by the time of applying for the study right)

Proficiency in English, Finnish, or Swedish (typically demonstrated with an official certificate, e.g., IELTS/TOEFL)

Please see the call page for more information and university-specific requirements.

Ready to apply?

Please submit your application by September 9, 2024 (23:55 Finnish time) through the Workday recruitment system, link below.

Required application documents:

-Motivational letter (1–2 pages). Please specify the research area(s) and preferably, the supervisors with whom you want to work.

-List of publications (if relevant, please do not attach full copies of publications)

-A transcript of master’s/bachelor’s studies and the degree certificate of your latest degree. If you don’t have a Master's degree, a plan of completion must be submitted.

You log in to the Workday recruitment system with an email account. This email address is used for communication during the review process. Make sure to use an email account that you follow frequently and use the same email addresses in all your application documents (e.g. CV).

If you are already an employee or a visitor in Aalto University, please apply for the position via Aalto’s internal Workday system (Career) using your existing Workday user account.

Further information:

Please see the call website for more information about the research areas, working environment, job details, and FAQ. If you have questions that are not answered on the website, please contact hr-cs at aalto.fi on questions about the recruitment system (Workday) or ai-doc at aalto.fi on any other questions.

More about Aalto University:

Aalto.fi youtube.com/user/aaltouniversity linkedin.com/school/aalto-university/ www.facebook.com/aaltouniversity instagram.com/aaltouniversity twitter.com/aaltouniversity

• Published: 27.8.2024
• Updated: 29.8.2024

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Learn Artificial Intelligence for teachers

Everywhere we go, people are talking about Artificial Intelligence and its effect on American lives.

American industry has embraced it in the form of digital assistants, and people are using it to plan meals, rearrange their computer desktops, write emails, brainstorm, create graphics, summarize documents, write letters, and so much more.

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Participants can discover how AI can support both teachers and students, improving learning outcomes and classroom experiences. This opportunity for educators to expand their knowledge, and network with like-minded professionals dedicated to advancing education through technology.

The conference is hosted by the Antelope Valley College’s Teacher Accelerated Preparation Program (TAPP). TAPP’s mission is to provide support to students who are interested in a career in education (teacher, teacher’s aide, para-educator) and provide professional development for in-service teachers.

When: Saturday, Oct. 26

Time: 9 a.m. to 3 p.m.

Location: Meets on Zoom

Register now to save your spot: https://forms.office.com/r/f4EidShVYE

Questions? Email [email protected]

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Inside Nvidia: Jensen Huang's Vision for Artificial Intelligence

Publisher description.

"Artificial intelligence is the most powerful technology force of our time. It has the potential to revolutionize every industry and every aspect of our lives." - Jensen Huang "Inside Nvidia: Jensen Huang's Vision for Artificial Intelligence" offers a deep dive into the transformative world of AI and the pivotal role Nvidia plays in shaping its future. Guided by the visionary leadership of Jensen Huang, Nvidia has emerged as a global leader in graphics processing and AI technology, driving innovation across industries. This book not only chronicles Nvidia's groundbreaking journey but also serves as a comprehensive guide to understanding artificial intelligence, making it accessible to both novices and tech enthusiasts alike. Explore the origins of Nvidia and the personal story of Jensen Huang, whose strategic insights have positioned the company at the forefront of AI development. Delve into the intricacies of GPU technology and how Nvidia's hardware innovations, such as the GeForce and RTX series, have revolutionized gaming, professional visualization, and scientific research. Discover how Nvidia's cutting-edge platforms like CUDA, Jetson, and Drive are accelerating the adoption of AI in robotics, healthcare, autonomous vehicles, and more. "Inside Nvidia" also addresses the broader implications of AI, from ethical considerations and societal impact to the challenges of integrating AI into everyday life. The book highlights Nvidia's educational initiatives and its commitment to fostering AI literacy, ensuring that the next generation is prepared to harness the power of this transformative technology. Whether you're a student, a professional, or simply curious about the future of technology, "Inside Nvidia: Jensen Huang's Vision for Artificial Intelligence" provides a thorough and engaging exploration of one of the most influential companies in the tech world and the groundbreaking innovations that are shaping our future.

More Books by Dr. Alistair Maxwell, PhD

PhD Position

Please note that this is not an official job posting, but only information for interested candidates who would like to apply on their own initiative. We expect applications in English.

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Research and teaching assistant (phd candidate) in applied artificial intelligence (f/m/d), post-doctoral researcher (f/m/d), our research.

Our research is driven by the strong desire to conquer the grand challenges of our society: bringing AI into healthcare; curbing fake news with AI tools; fighting the coronavirus epidemic with data-driven insights; automating marketing with AI; and developing new tools for “AI for Good”. For this purpose, we draw upon recent advances in artificial intelligence and statistical modeling in order to produce actionable insights. In our research, we develop new AI methods, often inspired by real-world applications.

Our group, led by Prof. Stefan Feuerriegel, is located in Munich. Further information about our group is available on our website.

In our research, we have partnered with leading institutions – the World Health Organization, the OECD, and leading industry players – to develop new state-of-the-art tools for management that are powered by AI. We further aim to publish a top-tier outlet from applied AI (e.g., KDD, WWW). We are also open to more outlets in technical AI (e.g., AISTATS, ICML), statistics, or management (e.g., Marketing Science, Operations Research).

Prof. Stefan Feuerriegel has a dual affiliation with both the LMU Munich School of Management and the Department of Mathematics, Informatics and Statistics at LMU Munich. Because of the latter, we are especially interested in developing new methods.

What we offer

An office which is located at the heart of Munich - most likely Europe's most compelling place to live. You will work with a highly motivated team of aspiring researchers in a very vibrant atmosphere. During this time, participation in conferences and voluntary exchange programs are also supported. Past graduates have landed top-positions in both industry and academia (e.g., University of Oxford). We work together with an international network of researchers (e.g., Harvard, Yale, NYU, Cambridge) to develop solutions for the global challenges of today and tomorrow.

Candidates will also gain experience in teaching undergraduate and graduate courses and seminars, and support students in thesis work. Positions are initially for one year with an option to extend until the end of the PhD.

Your profile

Ideally, the candidate has a Master’s degree in Mathematics, Applied Mathematics, Statistics, Computer Science, or Business Informatics (or a related field). Fluency in the English language is highly recommended. Topic-wise, our research is always open to own proposals and further suggestions. Work is almost entirely research-centered with limited teaching duties. We encourage women to apply.

A tentative candidate will be interested in one (or more) of the following topics:

• Machine learning / deep learning / artificial intelligence
• Probabilistic machine learning (hidden Markov models, Hawkes processes)
• Bayesian learning (MCMC, Gaussian processes, variational inferences)
• Causal machine learning
• Policy learning
• Statistics (Bayes)

Our research group is always open to own proposals and further suggestions. The starting date can be freely chosen. We have scan positions continuously.

People with disabilities who are equally as qualified as other applicants will receive preferential treatment.

Interested? How to apply

We look forward to receiving your online application. We have a lightweight application procedure (CV+transcript only) to minimize effort at both ends. Cover letter or internship reports are not required. Please note that we exclusively accept applications submitted via email sent to [email protected] . Our preferred language is English.

We are also open for applications from post-doctoral researchers. The research fields are equal to the above described PhD positions. The application process is the same. In addition, please provide us with some information about your research, qualifications and your motives, submitted by email to [email protected] .

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Open positions

Currently there are several positions to be filled.

Postdoctoral researcher in Phylomilia project (m/f/d; E13 TV-L)

Applications are invited for the post of a

postdoctoral researcher (m/f/d, E13 TV-L)

in the Linguistics Department, working with Prof. Gerhard Jäger. This vacancy is connected to the award of funding of a project Phylomilia – Phylogenetic linguistic inference from acoustic speech data , for the period 2024-27 by the Volkswagen Foundation (also see here ). The project will be based at the University of Tübingen. The principal activity of the postdoctoral researcher will be to undertake research in deep-learning based automatic speech recognition and in phylogenetic inference. A solid background, including a PhD in a relevant discipline, in modern statistical and machine learning methods in NLP is required.

The Linguistics Department ( http://www.sfs.uni-tuebingen.de/ ) offers a stimulating interdisciplinary research environment.

The salary is figured according to the union contract named TV-L, E13, depending on professional experience.

The period of employment will be for 3 years.

Applications should include CV, an outline of research experience, as well as names and addresses of up to three references. Applications should be sent by email to the address below. The position will be filled as soon as possible. Deadline for applications is August 31, 2024 .

Disabled applicants will be preferred if they have the same qualifications as non-disabled applicants. The University of Tübingen strives to increase the proportion of women in research and teaching, and therefore encourages qualified female scientists to apply.

Please send your application electronically as a single pdf file to gerhard.jaeger spam prevention @uni-tuebingen.de .

The contract will be made by the central administration of the university.

PhD position in Complexity Reduction, Explainability and Interpretability (KEI) (m/f/d; E13 TV-L, 73%)

We invite applications for a 3-year PhD or Postdoctoral position in Philosophy of AI at the University of Tübingen, Germany, to work on the project

Complexity Reduction, Explainability and Interpretability (KEI)

 (m/f/d; E13 TV-L, 73%, 36 mo., ideal start: 01.04.2024)

funded by the Heidelberg Academy of Sciences and Humanities (HAdW) .

The position is limited to 3 years. The project was elected as part of the College’s 9th season entitled “Complexity Reduction: Principles, Methods and Challenges” and is thereby part of an interdisciplinary consortium with other funded projects.

The office of the successful candidate is intended to be at the AI building in Tübingen, within the Ethics and Philosophy Lab of the Cluster of Excellence Machine Learning for Science (ML Cluster), in the direct vicinity of several renowned institutions, including the Tübingen AI Center and Max-Planck-Institute for Intelligent Systems.

The project is also in collaboration with the SimTech Cluster of Excellence "Data-Integrated Simulation Science" at the University of Stuttgart through Dr. Klopotek, head of the group Many-Body Simulations and Machine Learning. It will thus also be associated with the Stuttgart Research Focus: Interchange Forum for Reflecting on Intelligent Systems.

• The elected applicant will be supervised by and work with PD Dr. Eric Raidl
• The contract will lie formally at the HAdW
• The position shall be embedded in the Ethics and Philosophy Lab, and affiliated with the ML Cluster
• The elected applicant will also work in close exchange with the physics part of the KEI-project, directed by Dr. Miriam Klopotek (University of Stuttgart, SimTech)
• Travel budget
• Costs for a laptop are covered

Responsibilities

• Research and publication in Philosophy of AI in close collaboration with PD Dr. Eric Raidl
• Support of PD Dr. Eric Raidl in research- and project- related tasks (communication, workshop organization, WIN-Kolleg meetings, etc)
• Teaching is not mandatory but possible

Profile Requirements for the PhD Position

• Excellent Master in philosophy, logic, or physics (or both)
• Strong background in philosophy of science, philosophy of AI, epistemology, or physics
• Knowledge of the topics of Explainable AI and Complexity (e.g., computational and algorithmic complexity, statistical physics)
• Proficiency in English and German
• Excellent organizational and communication skills
• Experience in interdisciplinary discussion with scientists
• Personal responsibility and ability to cooperate

Profile Requirements for the Postdoc Position

• Excellent PhD in philosophy of AI, or philosophy of science, or philosophy of physics, or in logic
• Two publications (published or accepted)
• And the above-mentioned Profile Requirements for the PhD Position.

Please apply with the following documents –  cover letter, CV (maximally 2p each), copies of certificates, list of publications, and 1 written work for the PhD and 1 publication for the Postdoc Position  – as a single PDF ; not exceeding 5 MB, to aite spam prevention @wsii.uni-tuebingen.de and in cc eric.raidl spam prevention @uni-tuebingen.de by February 15, 2024 . In your cover letter, specify how your work and competences fit into the project. Incomplete applications will not be considered. Questions should be directed to eric.raidl spam prevention @uni-tuebingen.de . Interviews are planned for the end of February.

The HAdW and the university seek to raise the number of women in research and teaching and therefore urges qualified women academics to apply for these positions. Equally qualified applicants with disabilities will be given preference.

Several PhD positions in Machine Learning Based Data Anaysis of Scattering and Diffraction Data

The Schreiber Group at the University of Tübingen works on the physics of molecular and biological materials using X-ray and neutron scattering. A specialised sub-group is dedicated machine learning based data analysis of scattering and diffraction data. Currently we have several

PhD positions (m/f/d)

available. Candidates with experience or interest in neural networks and machine learning strategies to analyse scattering are especially encouraged to apply.

You should have good communication skills, attention to detail, and flexibility to work both independently as well as in a team. You should hold either a diploma/master degree in physics, physical chemistry, material science or have a background in computer science.

You will be part of challenging interdisciplinary projects that are integrated into major national and European research consortia such as the DAPHNE (DAta for PHoton and Neutron Experiments) NFDI consortium. We offer well-equipped laboratories, a highly collaborative international environment and affiliation with the Cluster of Excellence "Machine Learning: New Perspectives for Science" funded by the DFG and hosted at the University Tübingen. You will receive excellent training and for all our projects we offer the opportunity to perform research at international large-scale facilities (such as synchrotrons and neutron sources).  Details on our research as well as publications and background information can be found at http://www.soft-matter.uni-tuebingen.de/machine_learning_XRR.html and http://www.soft-matter.uni-tuebingen.de/machine_learning_GIWAXS.html

The University of Tübingen has ~ 28,000 students and more than 500 years of academic tradition. It has national excellence status as is ranked in the top 100 universities worldwide. You will benefit from a variety of training opportunities and language courses as well as the university’s graduate academy. See also https://uni-tuebingen.de/en/excellence-strategy .

Applications should include a cover letter describing research interests, achievements, motivation and capabilities; curriculum vitae; academic certificates; names and email addresses of two professional references (e.g., current or previous research advisors). The opening will remain valid until the position is filled .

The positions are available immediately. Salary will be determined according to the German collective wage agreement in public service. Please send your application within one PDF file to softmatter spam prevention @ifap.uni-tuebingen.de

The University aims to increase the proportion of women in research and teaching and therefore urges suitable qualified women scientists to apply. Qualified international researchers are expressly invited to apply. Severely disabled persons with equal aptitude will be given preferential consideration.

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3209 Study programs

Study Artificial Intelligence in Germany: 65 Universities with 109 English Degree Programs

All important info for international students in germany (2024/2025).

Artificial Intelligence is a rapidly growing field aimed at helping machines percieve their environments and make "intelligent" decisions according to this input. From search engines and web recommendations to self-driving cars, AI has already taken over large parts of our lives, and will continue to do so at an increasing pace in the future. If you want to be part of this revolution and help shape its future course, a degree from a German university in Artificial Intelligence will ensure that you have an important and respected (not to mention well-paid) job in the future for as long as you wish!

Study Programs in English

Universities

Universities in International Rankings

€ 0 (62 programs for EU citizens, 56 programs for Non-EU citizens)

€ 10,000 per semester (1 program for EU citizens/Non-EU)

Winter Semester

between August 31 and August 16

Summer Semester

between August 31 and August 15

Top-ranked German Universities in Artificial Intelligence

private (state-approved) University

No. of Students: approx. 1,000 students

Program Fees: € 8,500 (per semester)

private (state-approved) University of Applied Sciences

No. of Students: approx. 105,000 students

Program Fees: € 2,340 - € 5,975 (per semester)

public Technical University

No. of Students: approx. 53,000 students

Program Fees: € 0 - € 6,000 (per semester)

public University

No. of Students: approx. 27,000 students

Program Fees: € 0 - € 1,500 (per semester)

No. of Students: approx. 12,000 students

Program Fees: € 7,250 (per semester)

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Tuition Fees

3 english degree programs for artificial intelligence in germany.

University of Bayreuth Bayreuth

Scientific computing.

TU Darmstadt Darmstadt

Functional advanced materials engineering with artificial intelligence for sustainability (fame ais).

Ruhr-Universität Bochum Bochum

Ethics - economics, law and politics.

Application Deadlines

Winter Semester 2024/2025

Summer Semester 2025

Winter Semester 2025/2026

Open Programs

29 programs

50 programs

92 programs

Application Modes

Application process.

NIT Northern Institute of Technology Management Hamburg University of Technology · Hamburg

Technology management - double master's program [english].

HECTOR School of Engineering and Management Karlsruhe Institute of Technology (KIT) · Karlsruhe

Mobility systems engineering & management.

Technology Management

TOEFL Scores

Cambridge Levels

5 (1 program )

71 (1 program )

B2 First (FCE) (20 programs )

7 (6 programs )

100 (1 program )

C2 Proficiency (CPE) (16 programs )

Rhine-Waal University of Applied Sciences Kamp-Lintfort / Kleve

Information engineering and computer science.

Technology Management - Double Master's Program [German]

Offenburg University of Applied Sciences Offenburg

Enterprise and it security (enits).

2-24 semesters

→ View all programs with online courses

Master of Science

Master of Engineering

Bachelor of Science

Bachelor of Engineering

Master of Business Administration

Bachelor of Arts

Master of Arts

Winter intake

Summer intake

Winter & Summer intake

List of all German Universities offering English-taught Study Programs in Artificial Intelligence

Ansbach University of Applied Sciences

Program Fees: € 0

M.Eng. (Master of Engineering)

Aschaffenburg University of Applied Sciences

B.Sc. (Bachelor of Science)

Brandenburg University of Technology Cottbus-Senftenberg

M.Sc. (Master of Science)

Coburg University

CODE University of Applied Sciences

Program Fees: € 6,900

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Tuition-free Universities in Germany in English

Master's Requirements in Germany

Scholarships for international students 2024/25

Uni-assist: A guide for international students (2024)

How Much Does it Cost to Live in Germany?

Germany in University Rankings

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Engineering Universities in Germany: A Guide 2024/25

26 artificial-Intelligence-phd PhD positions in Germany

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• Forschungszentrum Jülich 1
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PhD Position in Privacy-Preserving and Reliable Artificial Intelligence

Medicine (Director: Prof. Dr. Daniel Rueckert) is seeking to fill PhD candidate position (TV-L E13, 100% for 3 years) in Privacy-Preserving and Reliable Artificial Intelligence to be occupied starting from

PhD / Doctorate •

researchers in the field of reliable artificial intelligence . The background applicants come from can be very divers. To earn the relAI certificate, PhDs need to earn credits in subject-related courses, gain

Research assistant - Generative AI in production 1

showcasing the capabilities of machine learning and artificial intelligence within the manufacturing sector, emphasizing their practical application in industrial settings. Under the theme of "Generative AI

PhD Position in Traffic Environment Perception using Multi-Modal Sensors

17.06.2024, Wissenschaftliches Personal As Chair of Robotics, Artificial Intelligence , and Real-time Systems, we work on the latest developments in the field of future mobility. Constructing modern

Research Associate / PhD Student (m/f/x) in Physics, X-ray and neutron scattering

scattering and runs a specialized subgroup on machine learning ( artificial intelligence and deep learning) for the analysis and prediction of experimental scattering data. Currently, there are several options

PhD Position: Advanced Onboard Control Systems for Spacecraft with AI (m/f/d)

to navigate, orient, and control spacecraft systems. Artificial Intelligence (AI) technologies have emerged as a promising approach to enhance the capabilities of spacecraft AOCS. The integration of AI

PhD Position in Intelligent Infrastructure Systems, Machine Learning

19.03.2024, Wissenschaftliches Personal As Chair of Robotics, Artificial Intelligence , and Real-time Systems, we work on the latest developments in the field of future mobility. Constructing modern

PhD position – Digital Integration and AI for Sustainable Hydrogen Technologies

. This initiative is a collaborative effort to harness artificial intelligence and cloud-based technologies to accelerate the discovery, design, and deployment of high-performance materials, thereby enabling a

PhD position: Physics-based and AI-Driven Spectral Imaging for Brain Surgery

for analyzing brain activity. The lab for Artificial Intelligence in Medicine (AIM Lab ) focuses on AI and ML approaches for medicine and healthcare. Our aim is to develop AI and ML techniques for the analysis

PhD positions on Foundation Models and Deep Learning for Imaging Problems

%, 3-4 years) on Foundation Models and/or Deep Learning for Imaging Problems. The Professorship for Machine Learning at TUM works on machine learning, artificial intelligence , and information processing

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artificial intelligence Germany PhD Programmes PhD Projects, Programmes & Scholarships

Phd studentship opportunities in the overall field of cognition research, funded phd programme (students worldwide).

Some or all of the PhD opportunities in this programme have funding attached. Applications for this programme are welcome from suitably qualified candidates worldwide. Funding may only be available to a limited set of nationalities and you should read the full programme details for further information.

Germany PhD Programme

A German PhD usually takes 3-4 years. Traditional programmes focus on independent research, but more structured PhDs involve additional training units (worth 180-240 ECTS credits) as well as placement opportunities. Both options require you to produce a thesis and present it for examination. Many programmes are delivered in English.

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• Augmented Vision Prof. Dr. Didier Stricker
• Cognitive Assistants Prof. Dr. Antonio Krüger
• Cyber-Physical Systems Prof. Dr. Rolf Drechsler
• Data Science and its applications Prof. Dr. Sebastian Vollmer
• Design Research eXplorations Prof. Dr. Gesche Joost
• Educational Technology Lab Prof. Dr. Niels Pinkwart
• Embedded Intelligence Prof. Dr. Paul Lukowicz
• Foundations of Systems AI Prof. Dr. Kristian Kersting
• Innovative Factory Systems Prof. Dr.-Ing. Martin Ruskowski
• Institute for Information Systems Prof. Dr. Peter Loos
• Intelligent Analytics for Massive Data Prof. Dr. Volker Markl
• Intelligent Networks Prof. Dr.-Ing. Hans Dieter Schotten
• Interactive Machine Learning Prof. Dr.-Ing. Daniel Sonntag
• Marine Perception Dr. Frederic Theodor Stahl
• Multilinguality and Language Technology Prof. Dr. Josef van Genabith
• Neuro-mechanistic Modeling Prof. Dr. Verena Wolf
• Plan-Based Robot Control Prof. Dr. Joachim Hertzberg
• Robotics Innovation Center Prof. Dr. Dr. h.c. Frank Kirchner
• Smart Data & Knowledge Services Prof. Dr. Prof. h.c. Andreas Dengel
• Smart Enterprise Engineering Prof. Dr. Oliver Thomas
• Smart Service Engineering Prof. Dr.-Ing. Wolfgang Maaß
• Speech and Language Technology Prof. Dr.-Ing. Sebastian Möller
• Systems AI for Decision Support Prof. Dr. Carsten Binnig
• Systems AI for Robot Learning Prof. Dr. Jan Peters

Our Locations:

Shaping the future together – start your career as a researcher at DFKI now!

Bachelor and Master Theses

We are always looking for students who are in pushing the limits of technology further within a Master or Bachelor thesis. We always have a variety of Master thesis topics available from the following areas of research. If you you want to get more detailed information, please get in touch with  Prof. Christian Theobalt  via Email.

General Openings: PhD (student) positions

The Visual Computing and Artificial Intelligence department at MPI is continuously looking for PhD students (wiss. Mitarbeiter) that are fascinated by research problems in Computer Graphics and Computer Vision at the intersection to Artificial Intelligence. 

To directly enter the PhD program in the dissertation phase, applicants should have a Master degree (or equivalent) in computer science or a related field and show an outstanding academic record. We further expect research experience in our field of work, ideally already documented by perr reviewed publications in high quality venues. Candidates should have solid programming experience. We also expect the candidates to be fluent in both written and spoken English.

A PhD at the MPI for Informatics means spending 3-4 exciting years in a highly inspiring international environment with some of the world's leading researchers in computer science. Full funding is provided - for the duration of your PhD you are employed as a researcher (wiss. Mitarbeiter) at MPI. In case you are interested, please submit your complete application package including a CV, a list of publications, transcripts, and the contacts of at least two references via Email or mail to the address below.

Applicants can also apply through the central IMPRS Trust Graduate School or the Saarland Graduate School of Computer Science  and indicate that they would like to work with our departmnt. Candidates that have a bachelor degree can also apply through these programs. With a bachelor degree, an successful applicant would enter the preparatory phase of the graduate school with additional course work. Subsequently, the dissertation phase is entered.

Postdocs / Group Leaders

Current openings.

• (Neural) Modeling, Capture and Rendering, 3D/4D Reconstruction, Geometric Deep Learning
• Virtual Human Modeling and Animation

General Information

The new Visual Computing and Artificial Intelligence Department at the Max-Planck-Institute for Informatics has exciting openings for postdocs and research group leaders. The new department is headed by Prof. Christian Theobalt who was recently appointed new Scientific Director at the MPI for Informatics.

The Visual Computing and Artificial Intelligence Department investigates foundational research problems at the intersection of Computer Graphics, Computer Vision and Artificial Intelligence. It is our long term vision to develop entirely new ways to capture, represent, synthesize and simulate models of the real world at highest detail, robustness, and efficiency. To achieve this long term goal, we develop new concepts that rethink and unite established approaches from Computer Graphics and Computer Vision with concepts from Artificial Intelligence, in particular Machine Learning. In the past Prof. Theobalt and his team made widely recognized contributions to graphics and vision, notably in the area of virtual humans and neural rendering, which also received broader attention beyond the scientific community, such as VNect, Face2Face, Deep Video Portraits, DeepCap, Neural Sparse Voxel Fieldsand the spin-off the Captury. 

The department's work lays the foundations for a new way of thinking about computer graphics, and a new way of uniting and enriching the real world with computer graphics technology. It also lays the foundations for advanced computer vision methods to better perceive, understand and interpret the complex real world in motion surrounding us from visual observation, which is an essential capability of future intelligent computing systems that safely and intuitively interact with humans and the human world. 

The department performs foundational research in the following areas and is seeking applications from candidates in these areas

• Virtual Humans
• Neural Representations
• Rendering and Neural Rendering
• Deep Learning for Visual Computing
• AI for Graphics and Vision
• Language Guided Vision and Graphics
• Knowledge Representation for Visual Computing 
• Visual Scene Understanding
• 3D and 4D Reconstruction
• Multi-modal Reconstruction and Synthesis
• Free-viewpoint and 3D Video
• Marker-less Motion and Performance Capture
• 3D Image Analysis and Synthesis
• Inverse Rendering
• Computer Animation 
• Geometric Modeling
• Virtual and Augmented Reality
• New Sensors for Visual Computing
• Physically-based and Image-based Rendering
• New Methods for Human-Compter Interaction
• Quantum Visual Computing

The department provides a unique, inspiring and highly collaborative research environment. It features unique large scale experimental facilities in visual computing for real world data acquisitions, such as multiple real world scanning devices, and several large-scale multi-camera and capture systems for humans and general objects and scenes. The department also has access to excellent computing infrastructure with access to multiple large scale GPU and CPU clusters.

Applicants for postdoc positions should have an outstanding PhD in computer science or related field and have conducted research in one or more of the areas listed above. Applicants should have an excellent track record of publications in the top tier conferences in vision (CVPR, ICCV, ECCV etc.), graphics (EUROGRAPIHCS, SIGGRAPH, SIGGRAPH Asia etc.) or machine learning (NeurIPS, ICML, ICLR etc.). The application package should contain a CV, a statement of research, transcripts and the contacts of at least two academic references.

Research Group Leaders pursue an independent research agenda with their own a small research team. Comprehensive funding for the group leader, personnel and equipment is provided. Applicants for a research group leader position should have an outstanding PhD in computer science or related field and have conducted research in one of the areas listed above. Further, group leader applicants typically have experience as a researcher on a postdoctoral level. Applicants should have an excellent track record of publications in the top tier conferences in computer vision (CVPR, ICCV, ECCV etc.), computer graphics (EUROGRAPIHCS, SIGGRAPH, SIGGRAPH Asia etc.), or machine learning (NeurIPS, ICML, ICLR etc.). The application package should contain a CV, a statement of research describing the research vision for the group, transcripts and the contacts of at least three academic references.

The Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply. The Max Planck Society is further committed to employing more individuals with handicaps and particularly encourages these to apply.

Please send your complete application package to via Email to [email protected] . For questions regarding these positions please directly email Christian Theobalt: [email protected] .

Lise Meitner Award Postdoctoral Fellowship

The Max Planck Institute for Informatics is looking for excellent female computer scientists, offering them PostDoc positions to develop their scientific ideas without exertion of influence. For more information please see Lise Meitner Award Postdoctoral Fellowship or contact [email protected]

Important General Information for PhD / Postdoc Applicants

We fully encourage applications from talented students who are passionate about a career in research . However, we regularly receive very unspecific PhD applications and CVs which lack a focus and a clear motivation. Please note that we only consider candidates who motivate very thoroughly and convincingly why working with me in my field of research is what they would really like to do. In addition to that an applicant should have an outstanding academic record and should be fluent in both written and spoken English. We also expect research experience in a related field of work, preferably documented by respective high quality publications.

Applications which fail to fulfill these requirements will most likely remain unanswered. Finally, the following helps a successful application: 1) We know the applicant personally (e.g through a Master thesis in our group, research visit, etc.) 2) the applicant obtains recommendations from respected authorities in Computer Vision and/or Machine Learning and/or Graphics or related fields.

Contact for Applications

Christian Theobalt MPI Informatik Campus E1.4 66123 Saarbruecken Germany Email: [email protected]

Further information about selected research projects can be found  here . 

Scholarship Positions 2024 2025

Fully-Funded PhD Position in Artificial Intelligence at Frankfurt Institute for Advanced Studies, Germany

Frankfurt Institute for Advanced Studies is currently accepting applications for the Fully-Funded PhD Position in Germany for the academic year 2020/2021. The programme is funded by Dr Roberto Covino at the Frankfurt Institute for Advanced Studies and Centre for Multiscale Modeling in the Life Sciences.

User Review

Why would you like to choose Frankfurt Institute for Advanced Studies? The institute provides a foundation for decisive progress in research through cooperation, exchanging ideas, and overcoming structural barriers between the disciplines.

Brief Description

Eligibility, how to apply, one comment, leave a reply.

GERMANY: 7 Fully Funded PhD Positions in Data Science & Health

Do you want to bring artificial intelligence (AI) and data science to the forefront of health research? The Karlsruhe Institute of Technology is a top-ranked computer science university and Helmholtz research center. The German Cancer Research Center is the largest biomedical research institution in Germany with leading research in health data sciences. The Heidelberg University is the oldest university in Germany with a leading university clinic and excellent track record in scientific computing. These three top institutions joined to tackle this thrilling area by providing a unique doctoral program.

Apply if you can see the potential of techniques like deep learning in the health sector, and if you feel ready for shaping the future of our well-being. We offer projects in a collaborative research environment across discipline borders, focusing on topics in the following data science areas:

• Imaging & Diagnostics

• Surgery & Intervention 4.0

• Models for Personalized Medicine

Requirements:

We are looking for excellent graduates holding a master's degree, received by July 2022 at the latest, in computer science, mathematics, engineering, physics or related quantitative sciences (e.g. bioinformatics or medical informatics).

For a description of the application procedure and to fill in the essential HIDSS4Health application forms please visit https://www.hidss4health.de/#apply prior to submitting your application.

Cutting-edge research and working with top-experts in data science, AI, health and medicine

Inspiring work environment in an interdisciplinary setting

Integrated structured training curriculum of scientific and professional skills taught in English

Financial support for attending conferences and research collaborations, including a funded 4 months visit at a leading international or national research institution or university

A contract for a fully-funded position with competitive salary according to the applicable regulations of the participating institutions (e.g. German E13 TVöD or TV-L) at one of the three HIDSS4Health research institutions

Possible Start Date: Successful candidates will start their scientific work between May and September 2022.

Duration: The position is limited to 3 years with the possibility of prolongation. ​​

Application Deadline: 6 February 2022

Prof. Dr. Klaus Maier-Hein

Phone +49 (0)6221/42-2354

We ask for your understanding that we do not accept applications submitted via email. We apologize for any inconvenience this may cause.

To apply for a position please visit https://www.hidss4health.de/#apply to fill in the required application documents which need to be uploaded with your application.

100 Best universities for Artificial Intelligence (AI) in Germany

Updated: February 29, 2024

• Art & Design
• Computer Science
• Engineering
• Environmental Science
• Liberal Arts & Social Sciences
• Mathematics

Below is a list of best universities in Germany ranked based on their research performance in Artificial Intelligence (AI). A graph of 10.7M citations received by 518K academic papers made by 160 universities in Germany was used to calculate publications' ratings, which then were adjusted for release dates and added to final scores.

We don't distinguish between undergraduate and graduate programs nor do we adjust for current majors offered. You can find information about granted degrees on a university page but always double-check with the university website.

1. Technical University of Munich

For Artificial Intelligence (AI)

2. RWTH Aachen University

3. Karlsruhe Institute of Technology

4. University of Freiburg

5. University of Munich

6. Heidelberg University - Germany

7. Technical University of Berlin

8. University of Stuttgart

9. Darmstadt University of Technology

10. University of Erlangen Nuremberg

11. University of Bonn

12. University of Hamburg

13. University of Tubingen

14. TU Dortmund University

15. Dresden University of Technology

16. Ruhr University Bochum

17. Free University of Berlin

18. Humboldt University of Berlin

19. Saarland University

20. University of Bielefeld

21. University of Bremen

22. University of Leipzig

23. Goethe University of Frankfurt am Main

24. University of Potsdam

25. University of Duisburg - Essen

26. University of Cologne

27. University of Gottingen

28. University of Wurzburg

29. Leibniz University of Hanover

30. University of Ulm

31. University of Munster

32. Technical University of Kaiserslautern

33. Otto von Guericke University of Magdeburg

34. Kiel University

35. Braunschweig University of Technology

36. Johannes Gutenberg University Mainz

37. University of Paderborn

38. Friedrich Schiller University of Jena

39. University of Konstanz

40. Heinrich Heine University of Dusseldorf

41. University of Mannheim

42. Charite - Medical University of Berlin

43. University of Lubeck

44. University of Marburg

45. Carl von Ossietzky University of Oldenburg

46. University of Giessen

47. University of Augsburg

48. University of Wuppertal

49. University of Rostock

50. University of Regensburg

51. University of Siegen

52. Chemnitz University of Technology

53. University of Kassel

54. Hamburg University of Technology

55. University of Bayreuth

56. Osnabruck University

57. Ilmenau University of Technology

58. Munich University of the Federal Armed Forces

59. Jacobs University Bremen

60. University of Passau

61. University of Hagen

62. University of Trier

63. Darmstadt University of Applied Sciences

64. Martin Luther University of Halle-Wittenberg

65. University of Koblenz-Landau

66. Bauhaus - University Weimar

67. Hannover Medical School

68. University of Hohenheim

69. Aachen University of Applied Sciences

70. University of Greifswald

71. Freiberg University of Technology

72. Clausthal University of Technology

73. University of Hildesheim

74. Brandenburg University of Technology Cottbus - Senftenberg

75. University of Bamberg

76. Leuphana University of Luneburg

77. University of the Federal Armed Forces Hamburg

78. Munich University of Applied Sciences

79. Folkwang University of the Arts

80. Catholic University of Eichstatt-Ingolstadt

81. Witten/Herdecke University

82. University of Applied Science Koblenz

83. German Sport University Cologne

84. Hamburg University of Applied Sciences

85. Berlin Technical University of Applied Sciences

86. Karlsruhe University of Applied Sciences

87. Frankfurt University of Applied Sciences

88. Cologne University of Applied Sciences

89. WHU - Otto Beisheim School of Management

90. EBS University for business and law

91. Leipzig University of Applied Sciences

92. Bonn-Rhein-Sieg University of Applied Sciences

93. Furtwangen University of Applied Sciences

94. University of Erfurt

95. Bielefeld University of Applied Sciences

96. TH Bingen University of Applied Sciences

97. Berlin University of Applied Sciences

98. European University Viadrina

99. Mainz University of Applied Sciences

100. Reutlingen University

The best cities to study Artificial Intelligence (AI) in Germany based on the number of universities and their ranks are Munich , Aachen , Karlsruhe , and Freiburg im Breisgau .

Computer Science subfields in Germany