Leeds invites UK and international applications for a competitive PhD. The project examines spatio-temporal prediction of extreme rainfall. Funding is available through UNRISK CDT. Review the project and funding requirements together before applying.
Deadline and Research Focus
Applications close on 13 January 2027. Research develops generalised linear and additive mixed models. It combines statistical learning with high-performance computing. Consider how your experience matches the advertised research.
Location, University and Supervision
The university base is Leeds, United Kingdom. The work connects climate data with adaptive rainfall thresholds. The School of Mathematics hosts the project. It participates in UNRISK doctoral training. Dr Arief Gusnanto and Dr Leonid Bogachev are named. Professor Douglas Parker is also named.
Eligibility
Strong mathematics or statistics preparation is sought. Familiarity with R is required; climate knowledge can be learned during the project. Check the programme’s academic and English requirements. Use specific examples to explain your research preparation.
Funding and International Conditions
Awards cover full tuition and a UKRI-rate stipend. Support includes £6,000 individual research/training costs and £5,000 cohort training per student. International awards are limited under UKRI rules. International applicants pay visa and Immigration Health Surcharge costs.
How to Apply
- View scholarship details.
- Follow UNRISK’s application instructions for this project.
- Confirm the document checklist before submitting.
Before You Submit
Information was checked on 23 October 2026. Confirm current terms before applying. Allow time to obtain supporting documents. Explain your fit with this specific project in your application.