Skip to main content
School of Mathematical Sciences

Probability, Statistics and Data Science PhD Project

PhD projects in the Centre for Probability, Statistics and Data Science

The Centre for Probability, Statistics and Data Science covers three broadly overlapping main areas of research: probability, statistics and data science. Probability theory is a core topic within mathematics and a foundational aspect in much of the work of the centre. A broad range of areas within probability and applied probability are investigated from stochastic processes, understanding the properties of random mathematical structures including many applications to areas such as statistical physics, finance, etc. The centre also has a strong group of statisticians developing both statistical theory, e.g. Bayesian inference, methodologies, e.g. modelling of spatio-temporal data, and applications, e.g. biostatistics. Finally, the centre has in expertise of other aspects of data science including the foundations of machine learning, solving inverse systems as related to data, topological techniques, and others.  

The Centre (PSD) also welcomes applications year-round from students with alternative sources of funding, such as self-funding, Doctoral Loans, Commonwealth scholarships, or other funding options. Contact the relevant academic to discuss projects alternatively if you are considering a PhD using funding not listed below, we encourage you to contact the relevant academic to discuss potential projects. 

 

The following projects are currently open to applicants and will be considered on a rolling basis for interview and offer:

Project Title Supervisor Funding Start Date Application Deadline
The Topology of Hyperuniform Processes

Omer Bobrowski / Primoz Skraba

CSC Sep 2026 28 Jan 2026
Empowering Causal Inference with Functional Data Analysis Nicolás Hernández New Talent/CSC/EPSRC/Underrepresented/Self-Funded Sep 2026 28 Jan 2026
Advanced Inference methods for High-Dimensional and Functional Data Nicolás Hernández CSC/EPSRC/Underrepresented/Self-Funded Sep 2026 28 Jan 2026
Signature-Based Forecasting of Functional Time Series Nicolás Hernández CSC/EPSRC/Underrepresented/Self-Funded Sep 2026 28 Jan 2026
Advanced Modelling and Forecasting of Functional Time Series Nicolás Hernández CSC/Underrepresented/Self-Funded Sep 2026 28 Jan 2026
Scalable and Adaptive Statistical Modelling for Environmental DNA Surveys of Biodiversity in China Eleni Matechou / Silvia Liverani  CSC/EPSRC/Underrepresented/Self-Funded Sep 2026 28 Jan 2026
Integrating AI and Statistical Ecology: Bridging Automated Photo-Recognition and Inference of Population Demographics Eleni Matechou / Kostas Papafitsoros  EPSRC/Underrepresented Sep 2026 28 Jan 2026
Toric spaces from finite posets Amaranta Membrillo Solis  CSC/EPSRC/Underrepresented/Self-Funded Sep 2026 28 Jan 2026
Applications and modelling of high-dimensional time series Alexander Shestopaloff   CSC/EPSRC/Underrepresented/Self-Funded Sep 2026 28 Jan 2026
Causal Machine Learning Methods for Complex Imaging Data Eftychia Solea / Nicolás Hernández CSC/EPSRC/Underrepresented/Self-Funded Sep 2026 28 Jan 2026
Low-rank function approximations for high-dimensional financial risk management Linus Wunderlich EPSRC/UnderRep Sep 2026 28 Jan 2026

Check our Fees and Funding page for details about these studentships.

 

 

 

Back to top