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We have 111 Mathematical Modelling PhD Projects, Programmes & Scholarships in the UK

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Mathematics

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United Kingdom

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Mathematical Modelling PhD Projects, Programmes & Scholarships in the UK

We have 111 Mathematical Modelling PhD Projects, Programmes & Scholarships in the 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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White Rose BBSRC DTP: Could direct synaptic feedback from the Drosophila brain to its compound eye mediate the pop-out selective attention phenomenon in flies?

How does the brain tell the eye what to look at? It has been thought that selective attention occur at higher brain centres, but evolution might have tuned the neural networks of the whole nervous system collectively for attentive information processing by utilising feedback pathways to the sense organs and active sampling of the receptor cells. Read more

Individual decisions for transport network efficiency and sustainability

The University of Sheffield invites applications from outstanding candidates for this PhD scholarship opportunity. The project is looking at understanding the interplay of selfish routing, social norms and the availability of transport modes for the development of sustainable mobility at urban and regional scale. Read more

Learning a universal biomolecular force field

Molecular dynamics has been successful in obtaining biological insights by simulating the motion of biomolecules. Increases in compute power mean that simulations will soon reach the time scales on which much of biology happens. Read more

Economics and Computational Analysis of Causal Inference

This project aims to uncover the connections between economics and computational analysis in order to gain a deeper understanding of how things like economic policies and changes impact our lives. Read more

High-dimensional probabilistic dynamic models for global vegetation change and weather forecasting - SENSE CDT

The Earth’s vegetation is changing as a result of both human activity and climate change. Large scale shifts in vegetation will fundamentally alter terrestrial ecosystems, with a range of potential consequences – from impacts on biodiversity to altered carbon and hydrological cycling. Read more

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

Calcium signalling in In-Vitro Fertilization: developing a non-invasive diagnostic tool using mathematical modelling and data analysis

IVF is the primary treatment of infertility with ~2.5 million treatments and ~500,000 births annually. The success rate has been ~25% for many decades but it has been decreasing while the IVF industry is projected to grow to 37.7 billion (USD) by 2027 with an ~10% annual growth rate. Read more

Modelling and Optimisation of Urban Evacuation Procedures

Background. Evacuation constitutes the most fundamental strategy in the response to a humanitarian disaster. Key among the factors impeding evacuation is the unique traffic patterns that arise due to the sudden surge in travel demand, which contravene nominal traveller behaviour. Read more

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