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We have 73 Computational Mathematics PhD Projects, Programmes & Scholarships for Non-European Students in the UK

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Discipline

Mathematics

Location

Location

United Kingdom

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Institution

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PhD Type

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Funding

I am a non-European student


Computational Mathematics PhD Projects, Programmes & Scholarships for Non-European Students in the UK

We have 73 Computational Mathematics PhD Projects, Programmes & Scholarships for Non-European Students in the UK

A PhD in Computational Mathematics involves the use of complex mathematical models to find solutions to complex problems in fields such as Physics and Engineering.

What's it like to study a PhD in Computational Mathematics?

As a PhD student in Computational Mathematics, you'll work with your supervisory team to come up with solutions to real-world problems using mathematical models. You'll likely divide your time between lab-based research and writing your thesis.

Some popular research areas in Computational Mathematics include:

  • Computational imaging
  • Computational mechanics
  • Computational finance
  • Data science
  • Mathematical biology
  • Statistical physics

You might also have the opportunity to collaborate with other departments at your university to connect your research to their work.

Most PhDs in Computational Mathematics are advertised with a research objective attached, but it's also possible to propose your own research project. Your proposal will need to be reviewed and accepted before you can begin your PhD.

In the UK, you'll usually complete a PhD in Computational Mathematics over three years, although some departments may ask you to study over four years.

If you are performing research that is connected to the work of other departments at your university, you may be asked to divide your time between working on your own research and assisting with other projects.

Entry requirements

Because it is a research-led degree, entry requirements for a PhD in Computational Mathematics are the same as those for a Masters in Computational Mathematics. You'll most likely need an Upper Second-class Honours degree in Mathematics or a relevant subject, such as Physics, Engineering or Computer Science.

You may also need some professional experience in Computational Mathematics, depending on the programme you apply to.

PhD in Computational Mathematics funding options

In the UK, PhDs in Computational Mathematics are funded by the Engineering and Physical Sciences Research Council (EPSRC). They offer full-time students a fully-funded studentship, along with a tuition fee waiver and a living cost stipend.

If you're applying for a PhD advertised with a research objective attached, you'll receive any funding attached to the project. If you're proposing your own project, you'll first need to be accepted onto a PhD to be eligible for funding.

PhD in Computational Mathematics careers

A PhD in Computational Mathematics can open many doors to careers in scientific research and computing, as well as finance and technology. You may also have the opportunity to continue your research career by applying for a postdoc or research fellow position.

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Building an AI-based Digital Twin for the Milky Way

This project aims to build a prototype for a digital twin of the Milky Way, using artificial intelligence (AI) algorithms, and a combination of real data from Galactic surveys (e.g., astrometric data from the Gaia satellite and chemical abundances from APOGEE and GALAH). Read more

Causal analysis of geostatistical data

Causal inference within geostatistical data presents a compelling and complex challenge. Many research questions in various fields require understanding causality, and the methodology for drawing causal inferences from observational data has significantly evolved in recent years. Read more

Quantum computing innovation to simulate quantum systems

The emerging technology of quantum computing promises a revolution in numerical simulations of quantum systems for which classical algorithms suffer from computational costs that scale exponentially with the system size. This project will develop and optimize innovative quantum computing techniques to simulate small quantum systems using this rapidly evolving technology. Read more

Precision Medicine DTP - AI-driven drug discovery for diseases of unmet need with high-throughput phenomics data

Abstract. Drug discovery is extremely expensive and most candidate compounds fail at various stages of clinical trials. Artificial Intelligence (AI) has recently emerged as a promising tool to accelerate the search for new active compounds. 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

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

Prolog, constraint programming and algebra

My collaborators and I have written two recent papers which are intended to demonstrate that logic and constraint programming are tools which need to be better known and more widely deployed in pure mathematics. 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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