phd scholarship in mathematical modeling

• Mathematical Modelling

Mathematical Modelling Scholarships for International Students

Great News! Mathematical Modelling Scholarships for Bachelors, Masters, and PhD programs are regularly offered by universities abroad. If you are a student of Mathematical Modelling and are looking for a scholarship that can help you complete a higher education degree in Mathematical Modelling, you may apply for any of the scholarships listed here. Remember, these scholarships in Mathematical Modelling disciplines may require you to fulfils the admission criteria of the university. Mathematical Modelling is an excellent discipline to pursue for a bright career as it has incredible scope and the job industry for Mathematical Modelling is demanding more and more professionals. If you are seeking Mathematical Modelling undergraduate or postgraduate degree programs without IELTS requirement, it is recommended to apply to Chinese universities or European universities.

Danish State Sponsored Tuition Fee Scholarships - Roskilde University Denmark

• Full tuition fee
• Roskilde University
• Communication Sciences, Cultural Encounters, Public Administration, Politics, Development Studies, Global Studies +4 More , Physical Modelling, Mathematical Modelling, Spatial Designs, Nordic Urban Planning
• International Students

This is a Masters scholarships for International Students at Roskilde University, Denmark. Students interested in Communication Sciences, Cultural Encounters, Public Administration, Politics, Development Studies, Global Studies, Physical Modelling, Mathematical Modelling, Spatial Designs, Nordic Urban Planning are advised to apply for Danish State Sponsored Tuition Fee Scholarships - Roskilde University Denmark.

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Mathematical Modeling Doctor of Philosophy (Ph.D.) Degree

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The mathematical modeling Ph.D. enables you to develop mathematical models to investigate, analyze, predict, and solve the behaviors of a range of fields from medicine, engineering, and business to physics and science.

STEM-OPT Visa Eligible

Overview for Mathematical Modeling Ph.D.

Mathematical modeling is the process of developing mathematical descriptions, or models, of real-world systems. These models can be linear or nonlinear, discrete or continuous, deterministic or stochastic, and static or dynamic, and they enable investigating, analyzing, and predicting the behavior of systems in a wide variety of fields. Through extensive study and research, graduates of the mathematical modeling Ph.D. will have the expertise not only to use the tools of mathematical modeling in various application settings, but also to contribute in creative and innovative ways to the solution of complex interdisciplinary problems and to communicate effectively with domain experts in various fields.

Plan of Study

The degree requires at least 60 credit hours of course work and research. The curriculum consists of three required core courses, three required concentration foundation courses, a course in scientific computing and high-performance computing (HPC), three elective courses focused on the student’s chosen research concentration, and a doctoral dissertation. Elective courses are available from within the School of Mathematics and Statistics as well as from other graduate programs at RIT, which can provide application-specific courses of interest for particular research projects. A minimum of 30 credits hours of course work is required. In addition to courses, at least 30 credit hours of research, including the Graduate Research Seminar, and an interdisciplinary internship outside of RIT are required.

Students develop a plan of study in consultation with an application domain advisory committee. This committee consists of the program director, one of the concentration leads, and an expert from an application domain related to the student’s research interest. The committee ensures that all students have a roadmap for completing their degree based on their background and research interests. The plan of study may be revised as needed. Learn more about our mathematical modeling doctoral students and view a selection of mathematical modeling seminars hosted by the department.

Qualifying Examinations

All students must pass two qualifying examinations to determine whether they have sufficient knowledge of modeling principles, mathematics, and computational methods to conduct doctoral research. Students must pass the examinations in order to continue in the Ph.D. program.

The first exam is based on the Numerical Analysis I (MATH-602) and Mathematical Modeling I, II (MATH-622, 722). The second exam is based on the student's concentration foundation courses and additional material deemed appropriate by the committee and consists of a short research project.

Dissertation Research Advisor and Committee

A dissertation research advisor is selected from the program faculty based on the student's research interests, faculty research interest, and discussions with the program director. Once a student has chosen a dissertation advisor, the student, in consultation with the advisor, forms a dissertation committee consisting of at least four members, including the dissertation advisor. The committee includes the dissertation advisor, one other member of the mathematical modeling program faculty, and an external chair appointed by the dean of graduate education. The external chair must be a tenured member of the RIT faculty who is not a current member of the mathematical modeling program faculty. The fourth committee member must not be a member of the RIT faculty and may be a professional affiliated with industry or with another institution; the program director must approve this committee member.

The main duties of the dissertation committee are administering both the candidacy exam and final dissertation defense. In addition, the dissertation committee assists students in planning and conducting their dissertation research and provides guidance during the writing of the dissertation.

Admission to Candidacy

When a student has developed an in-depth understanding of their dissertation research topic, the dissertation committee administers an examination to determine if the student will be admitted to candidacy for the doctoral degree. The purpose of the examination is to ensure that the student has the necessary background knowledge, command of the problem, and intellectual maturity to carry out the specific doctoral-level research project. The examination may include a review of the literature, preliminary research results, and proposed research directions for the completed dissertation. Requirements for the candidacy exam include both a written dissertation proposal and the presentation of an oral defense of the proposal. This examination must be completed at least one year before the student can graduate.

Dissertation Defense and Final Examination

The dissertation defense and final examination may be scheduled after the dissertation has been written and distributed to the dissertation committee and the committee has consented to administer the final examination. Copies of the dissertation must be distributed to all members of the dissertation committee at least four weeks prior to the final examination. The dissertation defense consists of an oral presentation of the dissertation research, which is open to the public. This public presentation must be scheduled and publicly advertised at least four weeks prior to the examination. After the presentation, questions will be fielded from the attending audience and the final examination, which consists of a private questioning of the candidate by the dissertation committee, will ensue. After the questioning, the dissertation committee immediately deliberates and thereafter notifies the candidate and the mathematical modeling graduate director of the result of the examination.

All students in the program must spend at least two consecutive semesters (summer excluded) as resident full-time students to be eligible to receive the doctoral degree.

Maximum Time Limitations

University policy requires that doctoral programs be completed within seven years of the date of the student passing the qualifying exam. All candidates must maintain continuous enrollment during the research phase of the program. Such enrollment is not limited by the maximum number of research credits that apply to the degree.

National Labs Career Fair

Hosted by RIT’s Office of Career Services and Cooperative Education, the National Labs Career Fair is an annual event that brings representatives to campus from the United States’ federally funded research and development labs. These national labs focus on scientific discovery, clean energy development, national security, technology advancements, and more. Students are invited to attend the career fair to network with lab professionals, learn about opportunities, and interview for co-ops, internships, research positions, and full-time employment.

Students are also interested in: Applied and Computational Mathematics MS

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The College of Science consistently receives research grant awards from organizations that include the National Science Foundation , National Institutes of Health , and NASA , which provide you with unique opportunities to conduct cutting-edge research with our faculty members.

Faculty in the School of Mathematics and Statistics conducts research on a broad variety of topics including:

• applied inverse problems and optimization
• applied statistics and data analytics
• biomedical mathematics
• discrete mathematics
• dynamical systems and fluid dynamics
• geometry, relativity, and gravitation
• mathematics of earth and environment systems
• multi-messenger and multi-wavelength astrophysics

Learn more by exploring the school’s mathematics research areas .

Michael Cromer

Basca Jadamba

Moumita Das

Carlos Lousto

Matthew Hoffman

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Curriculum for 2023-2024 for Mathematical Modeling Ph.D.

Current Students: See Curriculum Requirements

Mathematical Modeling, Ph.D. degree, typical course sequence

Concentrations, applied inverse problems, biomedical mathematics, discrete mathematics, dynamical systems and fluid dynamics, geometry, relativity and gravitation, admissions and financial aid.

This program is available on-campus only.

Full-time study is 9+ semester credit hours. International students requiring a visa to study at the RIT Rochester campus must study full‑time.

Application Details

To be considered for admission to the Mathematical Modeling Ph.D. program, candidates must fulfill the following requirements:

• Complete an online graduate application .
• Submit copies of official transcript(s) (in English) of all previously completed undergraduate and graduate course work, including any transfer credit earned.
• Hold a baccalaureate degree (or US equivalent) from an accredited university or college.
• A recommended minimum cumulative GPA of 3.0 (or equivalent).
• Submit a current resume or curriculum vitae.
• Submit a statement of purpose for research which will allow the Admissions Committee to learn the most about you as a prospective researcher.
• Submit two letters of recommendation .
• Entrance exam requirements: None
• Writing samples are optional.
• Submit English language test scores (TOEFL, IELTS, PTE Academic), if required. Details are below.

English Language Test Scores

International applicants whose native language is not English must submit one of the following official English language test scores. Some international applicants may be considered for an English test requirement waiver .

International students below the minimum requirement may be considered for conditional admission. Each program requires balanced sub-scores when determining an applicant’s need for additional English language courses.

How to Apply   Start or Manage Your Application

Cost and Financial Aid

An RIT graduate degree is an investment with lifelong returns. Ph.D. students typically receive full tuition and an RIT Graduate Assistantship that will consist of a research assistantship (stipend) or a teaching assistantship (salary).

Additional Information

Foundation courses.

Mathematical modeling encompasses a wide variety of scientific disciplines, and candidates from diverse backgrounds are encouraged to apply. If applicants have not taken the expected foundational course work, the program director may require the student to successfully complete foundational courses prior to matriculating into the Ph.D. program. Typical foundation course work includes calculus through multivariable and vector calculus, differential equations, linear algebra, probability and statistics, one course in computer programming, and at least one course in real analysis, numerical analysis, or upper-level discrete mathematics.

• Schools & departments

Mathematical Modelling, Analysis and Computation PhD

Awards: PhD

Study modes: Full-time

Funding opportunities

Placements/internships

Programme website: Mathematical Modelling, Analysis and Computation

Upcoming Introduction to Postgraduate Study and Research events

Join us online on the 19th June or 26th June to learn more about studying and researching at Edinburgh.

Choose your event and register

Research profile

On this integrated degree you will join the broader Maxwell Institute Graduate School in its Bayes Centre home.

You will benefit from:

dedicated academic training in subjects that include mathematical analysis, computational mathematics, multi-scale modelling, model reduction, Bayesian inference, uncertainty quantification, inverse problems and data assimilation, and machine learning

extensive experience of collaborative and interdisciplinary work through projects, modelling camps, industrial sandpits and internships

outstanding early-career training, with a strong focus on entrepreneurship

a dynamic and forward-looking community of mathematicians and scientists, sharing strong values of collaboration, respect, and social and scientific responsibility

You will integrate into a vibrant research environment, closely interacting with many academics, comprising mathematicians from the University of Edinburgh and Heriot-Watt University. You will also engage with computer scientists, biologists, engineers, physicists and chemists providing their own disciplinary expertise. The programme is also complemented by many industrial and government partners.

Further information about the programme and applications is available on our website:

• MAC-MIGS website

Programme structure

You will take specific core courses (30 credits), group project modules, and additional instruction either from Scottish Mathematical Sciences Training Centre (video+ on-site tutorials) or else from selected approved (level 11+) modules from the two Universities. The remainder of your studies is supervised research work.

You will receive additional coursework and training (30 credits per year) with the remaining work being supervised research.

Week-long Industrial Sandpit

During each year, you will take part in a week-long Industrial Sandpit in conjunction with MAC-MIGS industrial partners to give an insight into how mathematics is used.

Work placements/internships

Work placements are negotiable and encouraged.

Visits/internships are possible at a range of some 30 companies and government agencies, with interdisciplinary partners across the sciences and engineering, and with our network of a dozen international academic partners in the US and Europe.

Training and support

Advanced academic coursework, training in presentation and scientific writing, training in responsible research and innovation, advanced computing skills, training in equality, diversity and inclusion, training in entrepreneurship, project training.

Our students are housed in the Thomas Bayes Centre in Year 1.

In years 2-4 you are typically based at either the University of Edinburgh's King's Buildings campus or at the Heriot-Watt University Edinburgh campus, near Riccarton.

Access to high performance computing hardware and software will be made available, as needed for project work.

Career opportunities

Companies in a vast range of areas, as well as government agencies, are very keen to develop modelling-based approaches and to incorporate data science into their existing models.

Prospective students are recommended to read the below government reports which make clear the tremendous scope for this area in the coming years.

• Government Office for Science ‘Computational Modelling: Technological Futures’ 2018
• An Independent Review of Knowledge Exchange in the Mathematical Sciences

Universities are also extremely keen to hire staff who can teach and conduct high quality research programmes in mathematical modelling, analysis and computation.

The Bayes Centre

The Bayes Centre is at the heart of data-driven scientific and mathematical activity in Edinburgh. It provides a dynamic interdisciplinary research environment that will provide a tremendous variety of opportunities for the PhD students to interact with world-leading researchers, visitors and workshops at ICMS , with startup companies, with data scientists and with high performance computing specialists at the Edinburgh Parallel Computing Centre.

Entry requirements

These entry requirements are for the 2024/25 academic year and requirements for future academic years may differ. Entry requirements for the 2025/26 academic year will be published on 1 Oct 2024.

A UK first class honours degree, or its international equivalent, in an appropriate subject; or a UK 2:1 honours degree plus a UK masters degree, or their international equivalents; or relevant qualifications and experience.

International qualifications

Check whether your international qualifications meet our general entry requirements:

• Entry requirements by country
• English language requirements

Regardless of your nationality or country of residence, you must demonstrate a level of English language competency at a level that will enable you to succeed in your studies.

English language tests

We accept the following English language qualifications at the grades specified:

• IELTS Academic: total 6.5 with at least 6.0 in each component. We do not accept IELTS One Skill Retake to meet our English language requirements.
• TOEFL-iBT (including Home Edition): total 92 with at least 20 in each component. We do not accept TOEFL MyBest Score to meet our English language requirements.
• C1 Advanced ( CAE ) / C2 Proficiency ( CPE ): total 176 with at least 169 in each component.
• Trinity ISE : ISE II with distinctions in all four components.
• PTE Academic: total 62 with at least 59 in each component.

Your English language qualification must be no more than three and a half years old from the start date of the programme you are applying to study, unless you are using IELTS , TOEFL, Trinity ISE or PTE , in which case it must be no more than two years old.

Degrees taught and assessed in English

We also accept an undergraduate or postgraduate degree that has been taught and assessed in English in a majority English speaking country, as defined by UK Visas and Immigration:

• UKVI list of majority English speaking countries

We also accept a degree that has been taught and assessed in English from a university on our list of approved universities in non-majority English speaking countries (non-MESC).

• Approved universities in non-MESC

If you are not a national of a majority English speaking country, then your degree must be no more than five years old* at the beginning of your programme of study. (*Revised 05 March 2024 to extend degree validity to five years.)

Find out more about our language requirements:

• Fees and costs

Read our general information on tuition fees and studying costs:

Scholarships and funding

This programme is associated to the MAC-MIGS Centre for Doctoral Training, which is funded by a grant from the Engineering and Physical Sciences Research Council ( EPSRC ). UK-based students enrolled in MAC-MIGS will receive their stipends from EPSRC .

There are also supplementary financial resources which can fund the participation of students from other countries. See the programme website for more details.

• MAC-MIGS Centre for Doctoral Training

Search for scholarships and funding opportunities:

• Search for funding

Further information

• Graduate School Administrator
• Phone: +44 (0)131 650 5085
• Contact: [email protected]
• Professor/Director, Benedict Leimkuhler
• School of Mathematics
• James Clerk Maxwell Building
• Peter Guthrie Tait Road
• The King's Buildings Campus
• Programme: Mathematical Modelling, Analysis and Computation
• School: Mathematics
• College: Science & Engineering

This programme is not currently accepting applications. Applications for the next intake usually open in October.

Start date: September

Awards: PhD (48 mth FT)

Application deadlines

We review applications on a rolling basis. Applications may be submitted at any time, but are mainly considered in the period 1 December to 15 March.

• How to apply

Find out more about the general application process for postgraduate programmes:

77 mathematical-modeling scholarships in Germany

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PhD Position – Mathematical Modelling of the Soil-Root-Mycorrhiza System

sciences Mathematical modelling skills Ability to work independently as well as collaboratively in an international, interdisciplinary team across institutes Very good communication and organizational skills

: Masters degree in bioengineering, environmental sciences or applied mathematics Knowledge of plant and soil sciences Mathematical modelling skills Ability to work independently as well as collaboratively in

Scientific Staff / PhD Student (m/f/d) in Mathematic Modeling / Microfluidics and Perfusion Bioreactors for Cellular Agriculture

of precision fermentation or cell culture - Affinity towards technical tasks and bioprocess control - Advantageous: Experience in mathematic modeling , programming, CAD, microfluidic or bioreactor systems

Scientific employee (PhD) for the investigation of 3D cloud-radiation effects (m, f, d, n. a.)

of Munich, Cologne and Hanover as well as the German Weather Service in Offenbach and Lindenberg. The partners combine leading expertise in modeling and observing clouds and their radiative properties with

PhD student in the field of " Mathematics to improve resource efficiency"

mathematical problem-solving skills Enjoy applied mathematical optimisation and motivation to implement your models and algorithms in software Ideally knowledge of mathematical modelling and numerical methods

PhD student in the field of " Mathematics to increase the resilience of production processes"

Enjoy applied mathematical optimisation and motivation to implement your models and algorithms in software Ideally knowledge of mathematical modelling and numerical methods, for example from non-linear

PhD Position - Foundation model for hydrological downscaling

Your Job: In this position, you will be an active part of our ESDE research group and the HClimRep consortium. You will contribute to the development of the HClimRep foundation model for climate

PhD student in the field of "Optimisation for pandemic preparedness"

mathematical optimisation and would like to implement your models and algorithms in software Ideally, you have previous knowledge of mathematical modelling and numerical methods, for example from non-linear

PhD position: Geometric epigenetic adaptation (f/m/d)

21 May 2024 Job Information Organisation/Company PhD Programme "Gene Regulation in Evolution" Department Institute of Molecular Biology Research Field Biological sciences Mathematics Researcher

PhD positions on Foundation Models and Deep Learning for Imaging Problems

. The current focus is on developing algorithms and foundations for deep learning and foundation models , particularly for medical imaging and on establishing mathematical and empirical underpinnings for machine

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• mathematics
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• mathematical modelling
• computer science
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A world-class PhD training programme which equips students with the skills and confidence to lead their discipline .

TRAINING FOR LEADERSHIP

Skills in analysis and data-driven, computational modelling

Collaborative projects focus

Responsible research and innovation

Entrepreneurship training

About the mac-migs programme.

MAC-MIGS students have a world of opportunity for developing and applying mathematics in collaboration with scientists and engineers, interacting with over 30 industrial and governmental partners, and visiting international collaborators around the world.  MAC-MIGS is not just PhD instruction, it is world-class PhD training that equips students with the skills and confidence to lead their discipline.

We accept applications from students interested in a wide variety of areas of mathematics, including mathematical modelling, applied and pure ordinary and partial differential equations, calculus of variations, numerical analysis, pure and applied statistics, machine learning, inverse problems, fluid dynamics, stochastic analysis, and any interdisciplinary topic involving these branches of mathematics and their interplay with other fields such as biology, chemistry, engineering and physics.

WHAT TO EXPECT FROM THE PROGRAMME

MAC-MIGS is a joint PhD programme of the University of Edinburgh and Heriot-Watt University, leading to the award of a joint degree from both universities. During your first year as a student, you are based at the new Bayes Centre in central Edinburgh, where you take courses and carry out group and individual projects, often involving industrial or government partners. Towards the end of the year, you are matched with a PhD project proposed by MAC-MIGS supervisors.

There are opportunities for interdisciplinary internships and periods of time spent in industry or with one of the overseas academic partners in our global network, including Brown University; Duke University; Ecole des Ponts; Norwegian University of Science & Technology; University of Potsdam; University of Turin; Technology University of Berlin; Vienna University of Technology; Utrecht University and the Technical University of Denmark. 

As a MAC-MIGS student, you study topics such as mathematical modelling, computational mathematics, analysis of ordinary, partial and stochastic differential equations, optimal transport theory, statistical methods and applied probability, optimisation, calculus of variations, high performance computing, data analytics (e.g. machine learning), and uncertainty quantification.

MAC-MIGS staff are well aware of the need to address state of the art challenges in data-driven mathematical modelling; our colleagues in the Bayes Centre , EPCC and the Alan Turing Institute will assist us in giving you access to advanced skills to future-proof your education and prepare you for leadership in this rapidly evolving field.

Students in the programme are trained to work on interdisciplinary projects – analysing equations, identifying relevant model structures and testing computational methods in a real-world setting. Our training is outward facing and involves participation of researchers from the sciences and engineeering, as well as industry partners. The training also includes topics in support of research and future employment, presentation skills, entrepreneurship, and responsible innovation.

A PHD WITH INTEGRATED STUDY IN MATHEMATICAL MODELLING, ANALYSIS AND COMPUTATION

The PhD programme will provide a broad training that cuts across disciplinary boundaries to include mathematical analysis – pure, applied, numerical and stochastic – data-science and statistical techniques and the domain-specific advanced knowledge necessary for cutting-edge applications.

Students on this integrated degree will join the broader Maxwell Institute Graduate School in its Bayes Centre. They will benefit from dedicated academic training in subjects that include mathematical analysis, computational mathematics, multi-scale modelling, model reduction, Bayesian inference, uncertainty quantification, inverse problems and data assimilation, and machine learning; extensive experience of collaborative and interdisciplinary work through projects, modelling camps, industrial sandpits and internships; outstanding early-career training, with a strong focus on entrepreneurship; a dynamic and forward-looking community of mathematicians, scientists and engineers, sharing strong values of collaboration, respect, and social and scientific responsibility.

The students trained on this programme will have expertise in a broad array of mathematical modelling techniques and of their application in multidisciplinary contexts as well as experience of industrial collaboration. 

Their skills will be highly valuable for all sectors of business and government as is reflected by our wide network of industry and agency partners covering manufacturing, energy, finance, healthcare, digital technologies, and environmental protection. Immediate benefits to these sectors will be realised through the projects carried out by the students in collaboration with these partners; long-term benefits will be achieved throughout the students’ careers, as they take up leadership positions and influence the future of their sectors.

Industrial and agency partners will provide internships, development programmes and research projects, and help maximise the impact of the students’ work. Our collaborations with academic partners representing leading institutions in Europe and in the US, will provide further opportunities for collaborations and research visits. 

The students will integrate into a vibrant research environment, closely interacting with many academics drawn from the faculties of both Edinburgh and Heriot-Watt Universities.

MAC-MIGS PROGRAMME STUDIES

All students are based in the Bayes Centre during their first year. Students take around 180 credits of study, divided as follows:

• A 15 credit module on Computational Methods for Data-Driven Modelling
• A 15 credit module on Mathematical Modelling and Applied Analysis
• 60-70 units of additional approved coursework (typically at Master’s level) from the Scottish Mathematical Sciences Training Centre, or the two universities, to be agreed with the Cohort Director
• A 15 credit Group Project
• A 15 credit Group Project on an industry or government-relevant theme
• A 60 credit Extended Individual Project

In addition, during the first year, students engage in a Modelling Camp, an Industrial Sandpit, training in and Presentation Skills. Near the end of their first year, all students participate in the 3-day Residential Camp, held at Millport on the Isle of Cumbrae or at The Burn, a large country house in the Scottish Highlands where they gain practice in presentation, hear science lectures and talks on responsible research and innovation, and learn about state of the art industrial challenges.

Years Two-Four

In the second year, students are based in the same building as their supervisor, at one of the campuses of Edinburgh and Heriot-Watt Universities. The work is focussed on the student’s agreed research project, which is typically supervised by a team including staff from both Edinburgh and Heriot-Watt Universities. Students are expected to take around 20 credits of academic coursework in each year. They are also required to participate in MAC-MIGS Skills and Citizenship courses which provide training in responsible research and innovation, equality, diversity and inclusion, project and time management, and other important topics. They also obtain specific instruction in Entrepreneurship.

Students return frequently to the Bayes Centre throughout their studies, for cohort activites, for seminars, for research group meetings and study groups, and to attend workshops at ICMS.

Taster Projects

First-year students work on two taster projects of their choice – one each term – in groups of three or four students. This is a way to get a flavour of the different research areas and to challenge themselves with more advanced material. 

Projects in 2021/22

• Machine Learning for new Numerical Methods in Viscoelastic Fluid Dynamics
• Optimal Infrastructure Planning for Large Scale  CO 2 removal from the Atmosphere
• What is a Quantum Annealer?
• Baysian Inference of the Double-Glazing Model (IBM Research)
• Comparison between DEM and NSDEM (EDEM)
• Understanding the Public Health Waiting Times Landscape in Scotland: Finding Key Drivers and Forecasting Demand (Public Health Scotland)
• Performance Validation using Reference Turbines (Ventient Energy)
• Model Selection by Simulation (Moody’s Analytics)
• Reconciling Robustness and Interpretability in Machine Learning (Moody’s Analytics)

Projects in 2020/21

• Reinforcement Learning via Relaxed Stochastic Control Approach
• Rare event Simulation
• Quantifying Uncertainty in Chaotic Systems using Multi-Level Monte Carlo Methods
• Computational Optimal Transport and Modern Methods of Optimisation
• Deep Learning in Computational Imaging
• Classification of Self-Assembled Structures using Machine Learning 
• Defining Good Neighbours: Modelling Root Traits for Beneficial Plant-Plant Interactions
• Validating Hidden Markov Models as Tools to Identify Seabird Foraging Areas
• Constructing Land Valuation Models to Find Profitable Investments
• Fluid Damping Model for Wave Energy Conversion

Projects in 2019/20

• Modelling Opinion Dynamics
• Control Variates for Path Tracing
• Dispersion in Random Flows: Homogenisation and beyond
• Modelling and Simulation of Multiscale Stochastic Systems in Living Cells
• Deep Learning in Imaging Inverse Problems and Application to Medicine
• Efficient Approximation of Pricing Functions
• Machine Learning for the Prediction of Battery Life
• Stochastic Plant Roots Growth in Granular Media

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Commission for Developing Countries

Graduate scholarships.

The CDC offers two scholarship schemes to support graduate studies, in a developing country, leading to an Master or PhD degree in the mathematical sciences.

Graduate Research Assistantships in Developing Countries (GRAID) Program.

The Program provides modest support for emerging research groups, working in a developing country listed in Priority 1 or 2 of the IMU Definition, making it possible for them to fund their most talented students to study full-time and pursue a Master or PhD graduate degree in mathematics. We invite applications from Teams consisting of a Principal Investigator plus his or her research group and an International Partner. The GRAID Program is funded by voluntary donations from mathematicians or mathematical institutions worldwide.

For further information click on the right side of this page.

IMU Breakout Graduate Fellowship Program  

Thanks to a generous donation by all the winners of the Breakthrough Prizes in Mathematics the International Mathematical Union, with the assistance of FIMU launched in 2016 a fellowship program to support postgraduate studies,   in a developing country, leading to a PhD degree in the mathematical sciences.The IMU Breakout Graduate Fellowships offer a limited number of grants for excellent students from developing countries.

London School of Hygiene & Tropical Medicine

Mathematical modelling to inform malaria control.

Fully funded, 4 year full-time PhD studentship based at the London School of Hygiene & Tropical Medicine.

Now open to applications (commencing January 2024).

Malaria kills over 600,000 people - mostly children - every year.

Several new tools, including the use of Wolbachia, are under development for the control of mosquito vectors of malaria. Mathematical models developed within this PhD will inform the feasibility of control achieved through strategic implementation of novel interventions.

Candidate requirements

• An MSc degree
• A biological or mathematical degree 
• Demonstrable ability in mathematical modelling
• Excellent written and oral communication skills
• Ability to work at least 2 days a week on campus

University fees (whether UK or  international) are covered.

Starting stipend of £20,140 per annum.

How to apply

• 1-page CV including names of 2 references
• 1-page description of proposed project

Please send applications to [email protected] by 16 October 2023.

Shortlisting notification by end of October 2023.

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PhD scholarship: Mathematical modeling in infection and immunity, Infection Analytics Program@Kirby Institute, UNSW Sydney

The Infection Analytics Program at the Kirby Institute is looking for talented students with a strong interest in applying quantitative approaches to solving major challenges in infectious diseases, health and immunity.

The Group and Projects

The Infection Analytics Program is a team of mathematicians, physicists and other quantitative specialists, working to understand infection and immunity. The group primarily works on HIV, malaria, and SARS-CoV-2 and has an outstanding track record of research, making a major contribution to the medical and biological sciences. These projects rely heavily on experimental data, and members of the Infection Analytics Program work closely with a number of experimental collaborators from across the globe. Students who join the group will be trained in interdisciplinary research with a strong emphasis on using mathematical and quantitative approaches, as well as experimental and clinical data to better understand topics in infection and immunity, such as how antimalarials alter the course of malaria infection, how to optimise treatment for HIV, how vaccines for SARS-CoV-2 boost immunity, and how immunity affects the progression of all three of these infections.

Scholarships

Applicants are sought for both domestic and international student scholarships for PhD studies commencing in 2022. Student scholarships of up to $38,000-41,000 p.a. are available for a duration of 3.5 years (depending on undergraduate performance).

Applicant Requirements

The Infection Analytics Program at Kirby Institute is an ideal group for students with a quantitative background (mathematics / physics / statistics) aiming to diversify their existing experience in mathematical biology or considering a career change from another quantitative science to mathematical biology.

The scholarships are highly competitive. For local students, first class honours is usually required. For international students, first class honours, a high GPA (>87%) and high ranking in graduate class (top 1-2 in year) in Bachelors degree as well as research experience (>6 month research project) is required. These criteria should be directly addressed in any enquiries on the scholarships.

How to apply

For students to commence in 2022 Term 3 (September), applications are due January 25th . Applications to commence Term 1 2023 (February) will be due April 29th.

Please apply by providing your academic transcripts, CV, and cover letter addressing the eligibility criteria (listed above) to Professor Miles Davenport ( [email protected] ) or Dr. David Khoury ( [email protected] )

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GEM Foundation PhD Scholarship in Probabilistic Seismic Hazard Analysis at IUSS Pavia

Jun 3, 2024

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Photo credit: IUSS Pavia

The Global Earthquake Model (GEM) Foundation is proud to support a PhD scholarship opportunity at the prestigious IUSS PhD programme in Earthquake Engineering (ROSE) . This collaborative program between Scuola Universitaria Superiore IUSS Pavia and Università degli Studi di Pavia offers a unique opportunity for highly motivated students to gain expertise in earthquake engineering.

This scholarship co-funded by the National Recovery and Resilience Plan (PNRR) focuses on:

“Development of innovative methods for probabilistic seismic hazard analysis”

The grant will focus on the development of innovative methods for the probabilistic calculation of seismic hazard, such as vector calculus and new methods for the propagation of epistemic uncertainty. These methods will allow to obtain estimates of seismic damage to structures, thus contributing to the design of interventions for higher sustainability. Other topics that could be developed concern new approaches for building seismic occurrence models.

The ideal candidate will have an undergraduate degree in geophysics, geology, civil or environmental engineering, with knowledge of probabilistic seismic hazard modelling and good programming skills, preferably in Python.

Benefits of undertaking an IUSS ROSE PhD in collaboration with GEM:

Exclusive international exposure and broad, interdisciplinary training: Gain a well-rounded understanding of earthquake science and engineering through a diverse curriculum and international collaboration.

Unique opportunity to work with a global network: work alongside highly motivated students and GEM employees from around the world, guided by esteemed academics and professionals.

Full scholarship: Focus on your research without financial burden.

English-language instruction: The program is conducted primarily in English, with support for occasional administrative matters in Italian.

By applying your research to develop innovative methods for probabilistic seismic hazard analysis, you'll contribute significantly to building a more resilient future for our planet.

Important Dates

Deadline for application July 1st, 2024 - 1:00 PM (CEST)

The results of the curricular evaluation process will be published on the IUSS website: http://www.iusspavia.it .

The oral exams will be conducted from 22/07/2024 at 09:30 AM (CEST) onwards, at the EUCENTRE Foundation, Via Ferrata n. 1, 27100, Pavia, or online via Zoom.

How to Apply:

For detailed application information, please visit: IUSS Pavia PhD Programme Application Details

Mandatory Documentation

Qualification Assessment

Evaluation Procedure

Don't miss this chance to pursue a world-class PhD in Earthquake Engineering and Engineering Seismology with the support of the GEM Foundation!

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RELATED CONTENTS

40 Facts About Elektrostal

Written by Lanette Mayes

Modified & Updated: 01 Jun 2024

Reviewed by Jessica Corbett

Elektrostal is a vibrant city located in the Moscow Oblast region of Russia. With a rich history, stunning architecture, and a thriving community, Elektrostal is a city that has much to offer. Whether you are a history buff, nature enthusiast, or simply curious about different cultures, Elektrostal is sure to captivate you.

This article will provide you with 40 fascinating facts about Elektrostal, giving you a better understanding of why this city is worth exploring. From its origins as an industrial hub to its modern-day charm, we will delve into the various aspects that make Elektrostal a unique and must-visit destination.

So, join us as we uncover the hidden treasures of Elektrostal and discover what makes this city a true gem in the heart of Russia.

Key Takeaways:

• Elektrostal, known as the “Motor City of Russia,” is a vibrant and growing city with a rich industrial history, offering diverse cultural experiences and a strong commitment to environmental sustainability.
• With its convenient location near Moscow, Elektrostal provides a picturesque landscape, vibrant nightlife, and a range of recreational activities, making it an ideal destination for residents and visitors alike.

Known as the “Motor City of Russia.”

Elektrostal, a city located in the Moscow Oblast region of Russia, earned the nickname “Motor City” due to its significant involvement in the automotive industry.

Home to the Elektrostal Metallurgical Plant.

Elektrostal is renowned for its metallurgical plant, which has been producing high-quality steel and alloys since its establishment in 1916.

Boasts a rich industrial heritage.

Elektrostal has a long history of industrial development, contributing to the growth and progress of the region.

Founded in 1916.

The city of Elektrostal was founded in 1916 as a result of the construction of the Elektrostal Metallurgical Plant.

Located approximately 50 kilometers east of Moscow.

Elektrostal is situated in close proximity to the Russian capital, making it easily accessible for both residents and visitors.

Known for its vibrant cultural scene.

Elektrostal is home to several cultural institutions, including museums, theaters, and art galleries that showcase the city’s rich artistic heritage.

A popular destination for nature lovers.

Surrounded by picturesque landscapes and forests, Elektrostal offers ample opportunities for outdoor activities such as hiking, camping, and birdwatching.

Hosts the annual Elektrostal City Day celebrations.

Every year, Elektrostal organizes festive events and activities to celebrate its founding, bringing together residents and visitors in a spirit of unity and joy.

Has a population of approximately 160,000 people.

Elektrostal is home to a diverse and vibrant community of around 160,000 residents, contributing to its dynamic atmosphere.

Boasts excellent education facilities.

The city is known for its well-established educational institutions, providing quality education to students of all ages.

A center for scientific research and innovation.

Elektrostal serves as an important hub for scientific research, particularly in the fields of metallurgy , materials science, and engineering.

Surrounded by picturesque lakes.

The city is blessed with numerous beautiful lakes , offering scenic views and recreational opportunities for locals and visitors alike.

Well-connected transportation system.

Elektrostal benefits from an efficient transportation network, including highways, railways, and public transportation options, ensuring convenient travel within and beyond the city.

Famous for its traditional Russian cuisine.

Food enthusiasts can indulge in authentic Russian dishes at numerous restaurants and cafes scattered throughout Elektrostal.

Home to notable architectural landmarks.

Elektrostal boasts impressive architecture, including the Church of the Transfiguration of the Lord and the Elektrostal Palace of Culture.

Offers a wide range of recreational facilities.

Residents and visitors can enjoy various recreational activities, such as sports complexes, swimming pools, and fitness centers, enhancing the overall quality of life.

Provides a high standard of healthcare.

Elektrostal is equipped with modern medical facilities, ensuring residents have access to quality healthcare services.

Home to the Elektrostal History Museum.

The Elektrostal History Museum showcases the city’s fascinating past through exhibitions and displays.

A hub for sports enthusiasts.

Elektrostal is passionate about sports, with numerous stadiums, arenas, and sports clubs offering opportunities for athletes and spectators.

Celebrates diverse cultural festivals.

Throughout the year, Elektrostal hosts a variety of cultural festivals, celebrating different ethnicities, traditions, and art forms.

Electric power played a significant role in its early development.

Elektrostal owes its name and initial growth to the establishment of electric power stations and the utilization of electricity in the industrial sector.

Boasts a thriving economy.

The city’s strong industrial base, coupled with its strategic location near Moscow, has contributed to Elektrostal’s prosperous economic status.

Houses the Elektrostal Drama Theater.

The Elektrostal Drama Theater is a cultural centerpiece, attracting theater enthusiasts from far and wide.

Popular destination for winter sports.

Elektrostal’s proximity to ski resorts and winter sport facilities makes it a favorite destination for skiing, snowboarding, and other winter activities.

Promotes environmental sustainability.

Elektrostal prioritizes environmental protection and sustainability, implementing initiatives to reduce pollution and preserve natural resources.

Home to renowned educational institutions.

Elektrostal is known for its prestigious schools and universities, offering a wide range of academic programs to students.

Committed to cultural preservation.

The city values its cultural heritage and takes active steps to preserve and promote traditional customs, crafts, and arts.

Hosts an annual International Film Festival.

The Elektrostal International Film Festival attracts filmmakers and cinema enthusiasts from around the world, showcasing a diverse range of films.

Encourages entrepreneurship and innovation.

Elektrostal supports aspiring entrepreneurs and fosters a culture of innovation, providing opportunities for startups and business development .

Offers a range of housing options.

Elektrostal provides diverse housing options, including apartments, houses, and residential complexes, catering to different lifestyles and budgets.

Home to notable sports teams.

Elektrostal is proud of its sports legacy , with several successful sports teams competing at regional and national levels.

Boasts a vibrant nightlife scene.

Residents and visitors can enjoy a lively nightlife in Elektrostal, with numerous bars, clubs, and entertainment venues.

Promotes cultural exchange and international relations.

Elektrostal actively engages in international partnerships, cultural exchanges, and diplomatic collaborations to foster global connections.

Surrounded by beautiful nature reserves.

Nearby nature reserves, such as the Barybino Forest and Luchinskoye Lake, offer opportunities for nature enthusiasts to explore and appreciate the region’s biodiversity.

Commemorates historical events.

The city pays tribute to significant historical events through memorials, monuments, and exhibitions, ensuring the preservation of collective memory.

Promotes sports and youth development.

Elektrostal invests in sports infrastructure and programs to encourage youth participation, health, and physical fitness.

Hosts annual cultural and artistic festivals.

Throughout the year, Elektrostal celebrates its cultural diversity through festivals dedicated to music, dance, art, and theater.

Provides a picturesque landscape for photography enthusiasts.

The city’s scenic beauty, architectural landmarks, and natural surroundings make it a paradise for photographers.

Connects to Moscow via a direct train line.

The convenient train connection between Elektrostal and Moscow makes commuting between the two cities effortless.

A city with a bright future.

Elektrostal continues to grow and develop, aiming to become a model city in terms of infrastructure, sustainability, and quality of life for its residents.

In conclusion, Elektrostal is a fascinating city with a rich history and a vibrant present. From its origins as a center of steel production to its modern-day status as a hub for education and industry, Elektrostal has plenty to offer both residents and visitors. With its beautiful parks, cultural attractions, and proximity to Moscow, there is no shortage of things to see and do in this dynamic city. Whether you’re interested in exploring its historical landmarks, enjoying outdoor activities, or immersing yourself in the local culture, Elektrostal has something for everyone. So, next time you find yourself in the Moscow region, don’t miss the opportunity to discover the hidden gems of Elektrostal.

Q: What is the population of Elektrostal?

A: As of the latest data, the population of Elektrostal is approximately XXXX.

Q: How far is Elektrostal from Moscow?

A: Elektrostal is located approximately XX kilometers away from Moscow.

Q: Are there any famous landmarks in Elektrostal?

A: Yes, Elektrostal is home to several notable landmarks, including XXXX and XXXX.

Q: What industries are prominent in Elektrostal?

A: Elektrostal is known for its steel production industry and is also a center for engineering and manufacturing.

Q: Are there any universities or educational institutions in Elektrostal?

A: Yes, Elektrostal is home to XXXX University and several other educational institutions.

Q: What are some popular outdoor activities in Elektrostal?

A: Elektrostal offers several outdoor activities, such as hiking, cycling, and picnicking in its beautiful parks.

Q: Is Elektrostal well-connected in terms of transportation?

A: Yes, Elektrostal has good transportation links, including trains and buses, making it easily accessible from nearby cities.

Q: Are there any annual events or festivals in Elektrostal?

A: Yes, Elektrostal hosts various events and festivals throughout the year, including XXXX and XXXX.

Elektrostal's fascinating history, vibrant culture, and promising future make it a city worth exploring. For more captivating facts about cities around the world, discover the unique characteristics that define each city . Uncover the hidden gems of Moscow Oblast through our in-depth look at Kolomna. Lastly, dive into the rich industrial heritage of Teesside, a thriving industrial center with its own story to tell.

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Our commitment to delivering trustworthy and engaging content is at the heart of what we do. Each fact on our site is contributed by real users like you, bringing a wealth of diverse insights and information. To ensure the highest standards of accuracy and reliability, our dedicated editors meticulously review each submission. This process guarantees that the facts we share are not only fascinating but also credible. Trust in our commitment to quality and authenticity as you explore and learn with us.

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• About company
• GENERAL CONTRACTOR

+7 (495) 526-30-40 +7 (49657) 0-30-99

THE HISTORY OF THE COMPANY CREATION

1993 how the construction company remstroy was created   the year 1993 was a period when a lot of construction companies, which had been working successfully during the soviet times and had rich staff capacity, were forced to cease their activity for various reasons. a lot of capable specialists either had to look for another job or change their field. but there were also those who were willing to realise their potential in the field of construction in accordance with the received degree and the experience they had accumulated. thus, in 1993 in elektrostal (moscow oblast) a group of specialists and people sharing each other’s ideas, who had enormous educational background and the highest degree in architecture, organized and registered ooo firm erg which began its rapid development and successful work, offering its service both on the construction market and other areas. 2000 industrial construction is the main area   seven years of successful work have shown that combining different types of activities in the same company is not always convenient. and in the year 2000 the founders of ooo firm erg decided to create and register a monoprofile construction company ooo remstroy construction company. industrial construction was chosen as the priority area. it was in this area that the directors of ooo sk remstroy began their working life and grew as specialists. in order to achieve the set goal, they selected a mobile team of professionals in the field of industrial construction, which allows us to cope with the tasks assigned to ooo sk remstroy throughout russia and the near abroad. 2010 manufacturing of metal structures   we possess modern equipment that allows us to carry out the entire cycle of works on the manufacture of metal structures of any complexity without assistance. designing – production – installation of metal structures. a staff of professionals and well-coordinated interaction of the departments let us carry out the work as soon as possible and in accordance with all customer’s requirements.” extract from the list of members of self-regulatory organizations, construction.

LICENSE OF MINISTRY OF EMERGENCY SITUATIONS

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SYSTEM OF ECOLOGIAL MANAGEMENT

SYSTEM OF OCCUPATIONAL SAFETY AND HEALTH MANAGEMENT

LETTERS OF RECOMMENDATION

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YOU CAN FIND MORE INFORMATION ON THE CONSTRUCTION SITES OF OOO REMSTROY ON THE PAGE OF THE SITE

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http://remstroi.pro/yandex-promyshlennoe-stroitelstvo

Geographic coordinates of Elektrostal, Moscow Oblast, Russia

City coordinates

Coordinates of Elektrostal in decimal degrees

Coordinates of elektrostal in degrees and decimal minutes, utm coordinates of elektrostal, geographic coordinate systems.

WGS 84 coordinate reference system is the latest revision of the World Geodetic System, which is used in mapping and navigation, including GPS satellite navigation system (the Global Positioning System).

Geographic coordinates (latitude and longitude) define a position on the Earth’s surface. Coordinates are angular units. The canonical form of latitude and longitude representation uses degrees (°), minutes (′), and seconds (″). GPS systems widely use coordinates in degrees and decimal minutes, or in decimal degrees.

Latitude varies from −90° to 90°. The latitude of the Equator is 0°; the latitude of the South Pole is −90°; the latitude of the North Pole is 90°. Positive latitude values correspond to the geographic locations north of the Equator (abbrev. N). Negative latitude values correspond to the geographic locations south of the Equator (abbrev. S).

Longitude is counted from the prime meridian ( IERS Reference Meridian for WGS 84) and varies from −180° to 180°. Positive longitude values correspond to the geographic locations east of the prime meridian (abbrev. E). Negative longitude values correspond to the geographic locations west of the prime meridian (abbrev. W).

UTM or Universal Transverse Mercator coordinate system divides the Earth’s surface into 60 longitudinal zones. The coordinates of a location within each zone are defined as a planar coordinate pair related to the intersection of the equator and the zone’s central meridian, and measured in meters.

Elevation above sea level is a measure of a geographic location’s height. We are using the global digital elevation model GTOPO30 .

Elektrostal , Moscow Oblast, Russia