Examples of PhD projects
Below are details of some of the PhD projects, offered by our academics for the academic year 2025/26. If you are interested in a particular project or research area, please mention this in your application and your research proposal and feel free to contact supervisors directly. These, however, are only examples of projects; the research would normally evolve in real time, and supervisors are generally open to new projects. Once you feel that you are interested in a specific research area or supervisor please mention this in your application form so we can direct your application to the most appropriate reviewers.
Mathematical physics
Nina Snaith
Random Matrix Theory (PDF, 52kB)
Thomas Bothner
Non-Hermitian to Hermitian random matrices/Topological expansions (PDF, 176kB)
Roman Schubert
Time dependent problems in quantum mechanics (PDF, 34kB)
Ashley Montanaro
Quantum algorithms
Tamara Grava
Integrable Systems and Random Matrices
Applied Mathematics
Rachel Bennett
Elastic coordination of beating cilia (PDF, 40kB)
Isaac Chenchiah
Solid/Structural Mechanics and Mathematical Biology (PDF, 114kB)
Pure
David Ellis
Problems in Extremal Combinatorics (PDF, 145kB)
Philip Welch
Logic/Set Theory
Celine Maistret
Computational number theory and arithmetic geometry
Tim Burness
Algebra and group theory
Misha Rudnev
Number theory and combinatorics
Oleksiy Klurman
Analytic and probabilistic number theory, combinatorics, harmonic analysis
Matthew Tointon
Combinatorial and probabilistic aspects of groups
Farhad Babaee
Analytic Geometry, Combinatorical Algebraic Geometry
Statistical Science
Haeran Cho
Transfer learning for anomaly detection (PDF, 21kB)
Sidarth Jaggi
Covert & stealthy communication/Adversarial communication/Sparse patterns (PDF, 47kB)
Katarzyna Reluga
Interpretable machine learning (iML) for official statistics (PDF, 151kB)
Juliette Unwin
Infectious disease modelling
Prob_AI Hub
Mathieu Gerber
Robust State-Space Modelling (PDF, 95kB)
Thomas Maullin-Sapey
Incorporation of Spatial Information in FMRI Analysis (PDF, 1,126kB)
Sam Power
Surrogate models for statistical computation and estimation (PDF, 119kB)
Mathieu Gerber and Sam Power
Robust State-Space Modelling (PDF, 95kB)
Song Liu
Computational Statistical Discrepancies for High-dimensional Datasets (PDF, 48kB)
Nick Whiteley
Statistical understanding and visualisation of AI embeddings (PDF, 48kB)
Matteo Fasiolo
Probabilistic Additive Models for Energy Forecasting (PDF, 445kB)
Rihuan Ke
Data Efficient Deep Learning for Imaging and Parameter Estimation (PDF, 47kB)
Probability, analysis and dynamics
Marton Balazs
Last passage percolation/Fluctuations in interacting particle systems (PDF, 31kB)
Joseph Najnudel
Probability theory and analytic number theory (PDF, 100kB)
Carl Dettmann
Stabilisation in switched systems / Spatial networks (PDF, 53kB)
John Mackay
Geometric group theory and analysis on metric spaces