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We have 233 Mathematical Modelling PhD Projects, Programmes & Scholarships for European Students (exc UK)

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Mathematical Modelling PhD Projects, Programmes & Scholarships for European Students (exc UK)

We have 233 Mathematical Modelling PhD Projects, Programmes & Scholarships for European Students (exc UK)

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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Non-linear cochlear mechanics: Models and measurements

Supervisory Team.   Ben Lineton. Project description. The mechanical response of the cochlea to sound exhibits an intriguing array of different non-linear phenomena, involving interactions across time and frequency. Read more

Computational aerodynamics of high speed flow over rough surfaces

Supervisory Team.   Neil Sandham. Project description. You will join a group of PhD students and post-doctoral researchers using high performance computing to advance understanding of high speed aerodynamics. Read more

Predicting and preventing cyclist accidents

Supervisory Team.   Dr Ioannis Kaparias. Project description. Cycling is an increasingly popular mode of travel in cities due to the great advantages that it offers in terms of space consumption, health and environmental sustainability. Read more

Quantifying and measuring the travel time reliability of public transport trips

Supervisory Team.   Dr Ioannis Kaparias. Project description.  Travel time in transport networks is not constant, but entails an element of variability that can be an important source of time losses. Read more

Transition to turbulence in hypersonic flow applications

Supervisory Team.   Neil Sandham. Project description. You will join a group of PhD students and post-doctoral researchers using high performance computing to advance understanding of high speed aerodynamics. Read more

Examining the changing inluence of global wildfires using new satellite observations of carbon monoxide

Background. Wildfires play an ancient and vital role as part of Earth’s carbon cycle, but as humanity intensified its expansion across the planet’s biosphere, the effects of fires have been increasingly destructive, costly and damaging to health and livelihoods. Read more
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Development of a semi-automated CT-brain analysis tool for application to real world clinical cohorts

Commercial partner: Brainomix, Oxford. Background. CT-brain imaging is the standard brain imaging modality used in the NHS and globally and is cheaper and better tolerated than MRI particularly in older, frail, multimorbid patients in whom MRI may be contraindicated. Read more

Advancing diabetes screening through data driven approaches

Additional supervisor. Dr Joie Ensor, University of Birmingham. This exciting project aims to update the Diabetes UK “Know your Risk” tool (https://riskscore.diabetes.org.uk/start) which is based on the Leicester Diabetes Risk Score. Read more

Sequential Bayesian inference in complex and realistic dynamical systems

This PhD position will be at the interesting overlap between computational statistics, Bayesian analysis, statistical signal processing, and machine learning, motivated by applications that aim to improve human life and environment. Read more

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