Statistics PhD

We welcome applications from those seeking to undertake PhD research degrees.

The PhD in Statistics is a three-year programme aimed at those who have acquired substantial statistical knowledge and experiences and who are ready to embark an independent research project.

The Statistics Group is interested in the development of novel statistical models and methods motivated by applied problems, with particular emphasis on environmental, biomedical and social sciences. Methodological strengths include stochastic modelling and inference, computationally intensive methods, time series analysis, extreme value statistics, methods for the design and analysis of clinical trials, nonparametric regression, functional data analysis and statistical learning. There is a strong emphasis on the interface between theory and application, and the group has close research links with other University departments, hospitals, pharmaceutical companies and research institutes, both within the UK and overseas.

Students will work under individual supervision to contribute to research in a chosen area, while research training courses will support additional learning and personal development. Students will also have the opportunity to work as a teaching assistant on our taught programmes; a valuable source of experience and income.

We recommend that potential applicants visit our department website to read the latest information about our research interests, projects and funding opportunities.

2:1 Hons degree (UK or equivalent) in Mathematics and Statistics or in a related subject where there is substantial mathematical and statistical components. It would also be desirable to have a Master’s Degree (MSc or MSci) in Statistics, Mathematics or Data Science or in related subjects that have substantial components in Mathematical or Statistical Theory/Methodology/Applications with experiences in scientific computing and writing. Typically, your degree is expected to have covered the following modules: Calculus, Analysis, Linear Algebra, Scientific computing, Probability, Statistical Inference. We may also consider non-standard applicants.