We have 218 Mathematical Modelling PhD Projects, Programmes & Scholarships

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Mathematical Modelling PhD Projects, Programmes & Scholarships

We have 218 Mathematical Modelling 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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Semi-supervised learning for regression

We are recruiting new Doctoral Researchers to our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships starting 1 October 2024. Read more

Normative modelling of resting-state EEG across the lifespan for application in the early diagnosis of neurodegenerative disorders including Alzheimer’s disease

With a rapidly aging human population worldwide, neurodegenerative diseases represent a pressing medical and societal concern. Given the increase in life expectancy, dementia is expected to affect almost 152 million people by 2050 (Alzheimer’s Disease International, 2018). Read more

Prosperity Partnership Theme 10: Data-Driven Computational Sensing and Imaging

Smart Products Made Smarter, a collaboration with Heriot-Watt University, University of Edinburgh and Leonardo is pleased to invite applications for PhD studentships to work as part of a leading team of experts. Read more

Prosperity Partnership Theme 9: Sensor Fusion and management in Autonomous Airborne Platforms

Smart Products Made Smarter, a collaboration with Heriot-Watt University, University of Edinburgh and Leonardo is pleased to invite applications for PhD studentships to work as part of a leading team of experts. Read more

Prosperity Partnership Theme 8: Compressed/low SWAP-C sensing

Smart Products Made Smarter, a collaboration with Heriot-Watt University, University of Edinburgh and Leonardo is pleased to invite applications for PhD studentships to work as part of a leading team of experts. Read more

Design and control of nanoparticle structuring and self-organisation

Nature forms many materials which possess intricate structures on length scales from nanometres to many microns, which are important in applications ranging from biological systems to porous materials for energy storage. Read more

Mathematical Modelling: Real Estate Finance and Investment

Many mathematical constructs exist within the real estate finance and investment universe. This project seeks to explore, develop and refine these models to yield meangingful insights. Read more

Financial Engineering: Modelling and Methods

This project will explore the utility of various mathematical models within common financial instruments. If you are interested, then please complete an application to the PhD in Applied Mathematics. Read more

Machine learning for extreme scale computational imaging in radio astronomy

The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on deep learning for extreme-scale computational imaging in radio astronomy. Read more

The automated construction of thermodynamic models for complex mixtures

Process design requires accurate and reliable thermodynamic data for multicomponent mixtures in the system over a wide range conditions (e.g., solvents, impurity concentrations, temperatures, pressures) which are often missing, especially for new compounds. Read more

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