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We have 19 Mathematical Modelling PhD Projects, Programmes & Scholarships for UK Students in Leeds

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Mathematics

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Leeds  United Kingdom

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Mathematical Modelling PhD Projects, Programmes & Scholarships for UK Students in Leeds

We have 19 Mathematical Modelling PhD Projects, Programmes & Scholarships for UK Students in Leeds

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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Cold-air pooling in mountainous terrain – improving weather and climate prediction models with new observational data

Fully-funded PhD studentship opportunity at the University of Leeds. Cold-air pooling in mountainous terrain – improving weather and climate prediction models with new observational data (Starting from October 2024; Application deadline. Read more

MRC DiMeN Doctoral Training Partnership: Could a ketogenic diet be used to treat glioblastoma?

Brain cancer, particularly, glioblastoma has a devastating prognosis and treatment outcomes have not improved over many decades. Due to the limitations of current treatment strategies, new and non-standard, approaches for glioblastoma management are urgently required. 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

Earth’s small-scale structure – Massive datasets and machine learning

The interior of the Earth holds the record of the evolution of the planet and the imprint of ongoing processes. Lithospheric material is transported into the deep interior through subduction and then distributed throughout the mantle by convection. Read more

A revolutionary new Lagrangian model for convective clouds

This project will contribute to the development of a revolutionary new cloud model, EPIC (the Ellipsoidal Parcel-In-Cell model). Here, we will use EPIC for the simulation of convective precipitation and cloud-climate feedbacks. Read more

NIHR Leeds BRC: Improving understanding of the use and interpretation of risk prediction tools

There are many risk prediction tools developed but only a fraction make it to routine clinical use. The reasons are multiple, for example some are geographically specific, many remain unvalidated, some lack clinical utility. . Read more

Atmospheric and Climate Effects of Rocket Emissions

The environmental impact of emissions from space launches is currently receiving much attention (Dallas et al., 2020) due to the space industry being one of the fastest growing global economic sectors (Ryan et al., 2021). Read more

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