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We have 9 Computational Mathematics PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Birmingham
Computational Mathematics PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Birmingham
We have 9 Computational Mathematics PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Birmingham
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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Data driven approaches for nonlinear inverse problems
The project aims to develop new techniques for solving complex inverse problems that arise in various scientific fields. In many real-world applications, such as medical imaging, geophysics, and material science, we often seek to recover the hidden properties of a system from indirect and noisy measurements. Read more
Computational modelling studies of flow and mixing of particle-liquid systems in industrial stirred vessels
Funding is available to fully support a PhD research student (including university tuition fees and salary tax free). The candidate must be a UK citizen and should have at least a strong upper second-class (2.1) degree in Chemical Engineering or related discipline. Read more
Numerical Algorithms for Molecular Systems and Data Science
Details: . Stochastic differential equations (SDEs) are widely used in science and engineering in order to model systems where random effects play a significant role. Read more
Numerical Algorithms and Analysis for Deterministic and Stochastic Systems
Details. Complex systems in biology, chemistry, and physics are often modelled using ordinary/partial/stochastic differential equations. Read more
Neural Networks for Complex Dynamical Systems
Details. Dynamical systems are often solved/integrated by a suitable numerical discretisation method in such a way that certain properties of the underlying systems will be preserved. Read more
Mathematical modelling of cavitation development
Cavitation generation has been much of a mystery for more than a century. A core unresolved challenge is how bubble growth subject to acoustic forcing occurs over millions of cycles of oscillation, which cannot be simulated by any CFD packages. Read more
Various topics in quantitative finance, financial engineering, and financial mathematics
I have a range of studentships available for PhD students in many areas of quantitative finance, including studentships for domestic (UK) and international applicants. Read more
Tropical Optimization
Tropical algebra is linear algebra developed over the max-plus semiring (extended real line endowed with tropical addition `a+b'max(a,b) and tropical multiplication `ab'a+b). Read more
Development of multi-scale in situ approaches to understand hydrogen embrittlement of engineering alloys at cryogenic temperatures
Project Abstract. Hydrogen is an essential part of the future of net zero emissions. Cryogenic tanks and distribution pipes are used to store and transport/distribute liquified hydrogen at cryogenic temperatures as demonstrated in space industry and will be used in future hydrogen economy. Read more
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