Looking to list your PhD opportunities? Log in here.
We have 16 Computational Mathematics PhD Projects, Programmes & Scholarships in London
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.
PhD opportunities in Mathematics at Brunel University London
Developing high-fidelity fluid dynamics simulations for sustainable aviation.
Machine Learning and Domain Decomposition methods for Fluid Dynamics
Studies in acoustic interactions with liquid drops
Deep Mechanistic Models for the Prediction of Dynamic Cell Fates
Development, Analysis, and AI-Augmentation of Steganographic Blockchain Protocols in Conjunction with Secure Multi-party Computation for Enhanced Privacy and Security
AI-driven companion system for prostate cancer management in patients on active surveillance
Data Science and Analytics for Cardiac Response to Music
Development and Validation of Security Metrics and Predictive Models for Blockchain Ecosystems
Using machine learning to predict cell-type specific effects of genetic variants which influence genome regulation
3-Year PhD Studentship funded by Institute of Ophthalmology and NIHR Biomedical Research Centre at Moorfields Eye Hospital: Digital phenotyping in ophthalmology
PhD opportunities in Computer Science at Brunel University London
Machine learning for sustainable transportation systems
Deep Learning and Natural Language Processing Based FinTech prediction
Developing computational models to understand the evolution of bidirectional catalysts in biology
- 1
- 2