We have 16 Computational Mathematics PhD Projects, Programmes & Scholarships in London






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Computational Mathematics PhD Projects, Programmes & Scholarships in London

We have 16 Computational Mathematics PhD Projects, Programmes & Scholarships in London

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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PhD opportunities in Mathematics at Brunel University London

Are you ready to address problems of real biological or engineering importance? Or perhaps investigate the underlying mathematical and phenomenological processes of societal issues?. Read more

Machine Learning and Domain Decomposition methods for Fluid Dynamics

Modelling of many modern applications leads to linear systems whose size is too large to allow the use of direct solvers. Thus, parallel solvers are becoming increasingly important in scientific computing. Read more

Deep Mechanistic Models for the Prediction of Dynamic Cell Fates

Talented and motivated students, passionate about doing research, are invited to apply for this PhD position. The successful applicant will join the Crick PhD Programme in September 2024 and will register for their PhD at one of the Crick partner universities (Imperial College London, King’s College London or UCL). Read more

Development, Analysis, and AI-Augmentation of Steganographic Blockchain Protocols in Conjunction with Secure Multi-party Computation for Enhanced Privacy and Security

 The aim of this project is to develop and analyse novel steganographic blockchain protocols integrated with Secure Multi-party Computation (SMPC) and Artificial Intelligence (AI) privacy-preserving approaches that emphases on developing a robust framework for strengthened privacy and security in decentralised systems. Read more

Deep Learning and Natural Language Processing Based FinTech prediction

Financial markets including stocks and forex constantly fluctuate. Apart from individual company performances, various external factors such as human psychology of the masses, local and international news contribute to the dynamics of the markets. Read more

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