PhD Mathematics

Mathematics and Statistics brings together our internationally leading research in several areas of pure mathematics, applied mathematics and statistics, including number theory, arithmetic geometry, geophysical and astrophysical fluid dynamics, dynamical systems, control theory, statistical forecasting and uncertainty quantification.

Pure mathematics - Our research centres on number theory, arithmetic geometry, analysis and dynamical systems.
Geophysical and astrophysical fluid - Our research centres on theoretical fluid dynamics and numerical modelling with applications to atmospheres, oceans, magnetic fields and solar physics.
Systems, dynamics and control - Our research centres on control theory, dynamical systems and complex systems with applications to biology, medicine and engineering.
Environmental Mathematics - Our research in dynamical systems, control theory, and data science applies to sustainability, ecology, epidemiology, human health, renewable energy, innovation and business.
Living Systems Mathematics - We undertake mathematical research with applications to biology and medicine.
Climate dynamics - Our research centres on modelling the climate system and on quantifying and reducing uncertainties in climate projections.
Statistical and Data Science - Our research centres on stochastic modelling, forecasting and uncertainty quantification with applications to the environment, health and decision support.

Applicants should hold, or expect to obtain before starting, an undergraduate or postgraduate degree in mathematics, statistics, or other relevant subject with a high level of mathematics. Undergraduate degree classifications should be equivalent to a First or strong Upper Second. Please indicate in your application which of our research groups or members of staff you are interested in working with. IELTS (Academic): Overall score 6.0. No less than 6.0 in any section. TOEFL IBT: Overall score 87 with minimum scores of 21 for writing, 21 for listening, 22 for reading and 23 for speaking.