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We have 198 Mathematical Modelling PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
Mathematical Modelling PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
We have 198 Mathematical Modelling PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
PhD candidates in Mathematical Modelling aim to develop new analytical and computational methods to describe and predict natural phenomena.
What is a PhD in Mathematical Modelling?
Mathematical Modelling is an important part of many academic areas including Biology, Physics, and Computer Science.
Mathematical Modelling PhDs have a focus on the application of analytical and computational methods to describe and predict natural phenomena.
Typical Mathematical Modelling PhDs have a focus on one of the following fields:
- Biostatistics
- Computational Biology
- Financial Mathematics
- Statistical Mechanics
The scope of Mathematical Modelling research can also be divided into theoretical and computational branches.
If your Mathematical Modelling PhD has a theoretical emphasis, you will focus on developing and applying mathematical theories to real-life problems.
If your Mathematical Modelling PhD has a computational emphasis, you will aim to develop new computational methods to describe and predict natural phenomena.
As a PhD student in Mathematical Modelling, you may also choose to study a subject that is distinct from the main focus of your research. This could be the case if your supervisor offers you the freedom to study a subject that interests you independently of the research project.
Typical PhDs in Mathematical Modelling have a duration of 3-4 years.
PhD in Mathematical Modelling entry requirements
In order to be considered for a PhD in Mathematical Modelling, you will need to show that you have the necessary academic background to complete a research project that has a mathematical emphasis.
Depending on the PhD you choose, you will have to show that you are proficient in certain areas of mathematics.
To be accepted into a Mathematical Modelling PhD, you will need to have a relevant undergraduate degree and most likely a Masters with Merit and an overall Upper Second Class honours degree.
Depending on your undergraduate degree, you might also need to have completed some additional modules.
PhD in Mathematical Modelling funding options
In the UK, you can apply for Research Councils doctoral training studentships to do a PhD in Mathematical Modelling.
These are the main sources of funding for PhDs in Mathematical Modelling in the UK.
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Combining Finite Element Methods with Machine Learning for Efficient Wave Simulations
We are seeking a highly motivated and skilled candidate for a PhD position in the field of numerical solutions of wave problems. The successful candidate will work on developing an efficient numerical solver for wave problems using advanced finite element methods coupled with machine learning. Read more
Computational modelling studies of flow and mixing of particle-liquid systems in industrial stirred vessels
Funding is available to fully support a PhD research student (including university tuition fees and salary tax free). The candidate must be a UK citizen and should have at least a strong upper second-class (2.1) degree in Chemical Engineering or related discipline. Read more
Direct pore-scale modelling of bubble dynamics in hydrogen electrolyzers
Research Group:
Institute of GeoEnergy Engineering
Universal access to sustainable and affordable energy is one of the main challenges society is facing today, nationally and globally. Read more
Evaluation of the impact of Catchment Sensitive Farming in reducing pesticide contamination in English rivers
With funding from the Environment Agency, this project will work on the high-profile topic of freshwater quality and will contribute to the evaluation of a government-funded water quality programme. Read more
Modelling in practice: an institutional ethnography of infectious disease modelling
This project explores through a comparative ethnography of two prominent infectious disease modelling laboratories how epidemiological science is made in practice. Read more
Extending the explainability of machine learning models in policy decision making
Governments and policy makers are increasing their use of machine learning (ML) to support decision-making. The performance of ML algorithms generally improves with the increase of model complexity, which makes it harder for end-users to interrogate the model output. Read more
Incorporating decision-making in environmental emergencies into behavioural computational models for crisis planning
Environmental disasters are increasing in frequency and severity and require improved mitigation planning. Communication approaches used by first responders and governments towards affected communities impact citizen response by increasing or decreasing citizen trust and well-being. Read more
Standing nonheritable variation in bacteria
The aim of this multi-disciplinary project is to develop quantitative methods to measure variation and selection, and their impacts on the dynamics of bacterial populations under changing environmental conditions. Read more
Holistic data approaches for image reconstruction
The University of Bath is inviting applications for the following PhD project commencing in October 2023. Overview of the Research. Read more
MIRELAI Project Doctorate Researcher
The European Union Marie Skłodowska-Curie Actions (MSCA) Industrial Doctorate programme MIcroelectronics RELiability driven by Artificial Intelligence (MIRELAI) is looking for talented and motivated Doctoral Candidates (DCs) with the skills, knowledge, and enthusiasm to help the industry-academia network make significant research breakthroughs. Read more
Improving Ultrasonic Imaging using Machine Learning (Enhanced Stipend - Rolls Royce EngD)
This EngD will work collaboratively between the Centre for Ultrasonic Engineering (Prof. C. MacLeod), the Department of Mathematics and Statistics (Dr. Read more
HPC-scale Uncertainty Quantification
The Department of Computer Science at Durham University is pleased to offer a fully funded PhD studentship. The successful applicant will be based in the Department of Computer Science of Durham University – ranked 5th for Computer Science in the UK The Complete University Guide. Read more
Learning chemical reactions from simulated and measured data
Applications are invited for a fully funded 4-year PhD project within the Mathematics and Data in Scientific and Industrial Modelling (MADSIM) Centre (. Read more
Intelligent information fusion in distributed sensing: uncertainty modelling and quantification for heterogeneous sensor/effector networks
The University of Surrey is offering a fully funded PhD studentship on the topic of intelligent information fusion for distributed sensing and learning, with industrial partner SAAB. Read more
Investigation of confinement effects on phase and flow behaviours of gas and condensate fluids with and without CO2 in unconventional reservoirs
Research Group:
Institute of GeoEnergy Engineering
Project Ref. JWS2023-MJ. It is believed that in nano- and micro-pores of Unconventional Reservoirs (URs) pore-wall-fluid intermolecular forces are so important that the fluid phase behaviour and properties of fluids residing in these pores cannot be captured by the conventional bulk fluid data. Read more