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We have 290 Applied Mathematics PhD Projects, Programmes & Scholarships for UK Students
Applied Mathematics PhD Projects, Programmes & Scholarships for UK Students
We have 290 Applied Mathematics PhD Projects, Programmes & Scholarships for UK Students
Fully-funded PhD Studentship in Applied Nonlinear Dynamics & Mathematical Physics
Research Group:
School of Mathematics
Applied Nonlinear Dynamics & Mathematical Physics. Read more
Optimal and Verifiable Representation Learning for Safe and Efficient Reinforcement Learning Systems
This project explores the integration of calculus of variations with verification-guided representation learning for reinforcement learning. Read more
Fully-funded PhD Studentship in Mathematical Biology & Evolutionary Dynamics
Research Group:
School of Mathematics
Mathematical Biology & Evolutionary Dynamics. We are delighted to offer a fully funded PhD studentship and applications are invited from strongly motivated and academically excellent candidates for PhD study in Mathematical Biology & Evolutionary Dynamics, within these strategic priority Research areas. Read more
The Sound of Metamaterials – Auralisation Techniques for Acoustic Metamaterials
The aim of this project is to develop virtual models to simulate and assess how humans perceive sound altered by acoustic metamaterials in different applications, such as noise treatments or in musical instruments, and develop an interactive web app that demonstrates the sound of acoustic metamaterials to the general public. Read more
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Systems-Mechanobiology of Ageing and Diseases
The interplay between lifestyle and genetics significantly shapes the trajectory of ageing, influencing the emergence of challenges like frailty and diseases such as cancer, cardiovascular conditions, and neurodegenerative disorders. Read more
Robust Nuclear Fuels for Future Applications
Saturn_Nuclear_CDT. Nuclear energy will play a key role in providing energy for important applications in the future. Read more
Analysing Clouds
Clouds play a central role in determining weather and climate, but many aspects are poorly understood. In particular, there is no satisfactory theory for the rapid onset of rainfall from clouds that are do not contain ice crystals. Read more
Accumulation of Diverging Trajectories
The project is concerned with understanding a surprising effect which is seen in trajectories of some chaotic dynamical systems (reference [1] gives an accessible discussion of dynamical chaos). Read more
Lacunarity, Anisotropy and Shape Statistics of Dynamical Fractals
Fractal sets [1] appear naturally in models for many physical processes. Read more
Hydrodynamics of self-propelled microswimmers in surfactant layers on a finite-depth subphase
The goal of this project is to advance the development of a theory for the motion of self-propelled surfers in thin structured films and membranes. Read more
Mathematical Complexity of Life: Origins, Evolution and Extinctions
In this project, we aim to unravel the complex dynamics of biological systems both on Earth and in the broader search for extraterrestrial life. Read more
PhD Studentships in The School of Mathematics and Statistics
Applications for funded PhD study to commence 1 October 2025 are now open. Both UK-based and international applicants are welcome to apply. Read more
PhD in Computing Science - Optimal mechanism design and active inference for advanced human-computer interfaces to machine learning
This project will look at developing “mediating mechanisms” as a way to link machine learning to human-computer interaction in tightly-coupled control loops. Read more
The influence of physical process representations on regional and global-scale climate model output
Background. The influence of aerosol particles on Earth’s energy balance, remains a major uncertainty in climate science. Even with increased model complexity, resolution, and data availability, aerosol and cloud interactions remain difficult to constrain, leaving gaps in understanding. Read more
Can AI-based weather and climate models enhance humanitarian response and energy planning?
Background. As climate change continues to unfold, enhanced early warning systems for natural hazards are a key part of disaster risk reduction. Read more