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We have 125 Applied Mathematics PhD Projects, Programmes & Scholarships for UK Students
Applied Mathematics PhD Projects, Programmes & Scholarships for UK Students
We have 125 Applied Mathematics PhD Projects, Programmes & Scholarships for UK Students
Thermal hydraulics modelling of low-pressure, light water-cooled Small Modular Reactors
The Low-Pressure Water Reactor (LPWR) is a 300MW(e) pool-type water-cooled Small Modular Reactor (SMR) design in which the nuclear core is located at the bottom of a deep underground shaft instead of inside a pressure vessel. Read more
Mathematically and Intuitively Understandable Deep Learning
This project is one of a number that are in competition for funding from the University of Bath URSA competition, for entry in September 2025. Read more
Machine Learning Methods for Invariant Representations of High-dimensional Data
This project is one of a number that are in competition for funding from the University of Bath URSA competition, for entry in September 2025. Read more
3D Scene Synthesis Using Diffusion Models and Large Language Models in Multimodal Generative AI
This project is one of a number that are in competition for funding from the University of Bath URSA competition, for entry in September 2025. Read more
Immunopeptidome landscape of multiple myeloma
Multiple myeloma (MM) is caused by the clonal expansion of plasma cells in the bone marrow. Read more
Hetero-dimensional cardiovascular digital twins for precision medicine
Interested in a rewarding career in bioengineering? Get sponsored to do life-changing research in New Zealand. Read more
Modelling Cellular Differentiation during Neural Crest Development
During embryonic development, diverse cell types are produced to establish the form and function of the mammalian body. Critical to this process is the differentiation of neural crest cells (NCCs) – a progenitor cell that has the potential to form multiple cell types. Read more
Studies in acoustic interactions with liquid drops
An ultrasonic monitoring system has been built that is able to characterise liquids based on the growth of pendant liquid drops [1]. 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
Fast Algorithms for Huge Dynamic Graphs
The project will be aligned with the EPSRC Centre for Doctoral Training CDT in Distributed Algorithms:The What, How and where of Next-Generation Data Science. Read more
Advancement and Application of Microwave and Radar Techniques for Non-Destructive Testing
With the growing use of non-metallic structural materials, such as glass fibre-reinforced plastic in the marine and renewable energy sectors and polymers for instance, high-density polyethylene in pipelines, non-destructive evaluation (NDE) of these materials is becoming a growing and pressing challenge. Read more
(MRC DTP) Utilising a novel algorithm to identify pregnancy-related events and outcomes in national electronic health records (EHRs); a study of health inequalities in culturally and socio-economically diverse populations of England
Patient health records are often used in research (de-identifiable copies of them) to help provide better information about who to treat and when. Read more
(MRC DTP) Understand spinal cord injuries: Developing a zebrafish model of spinal stroke
Spinal cord (SC) injuries (SCI) are devastating affecting at least 4400 people per year in the UK. It carries substantial individual and societal costs with most SCI sufferers experiencing chronic pain. Read more
Computational imaging for democratisation of MRI in medicine
The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on computational imaging for magnetic resonance imaging (MRI) in low-resource settings. Read more
Deep learning for black hole tomography
The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on deep learning for black hole imaging. Read more