University of Leeds
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PhD in Spatio-Temporal Models for Prediction of Extreme Rainfall Events University of Leeds in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Competition-funded PhD project within the UNRISK CDT. Offers 15-18 fully funded NERC studentships covering full university tuition fees, a personal stipend at standard UKRI rates, £6000 individual research and training costs, £5000 per student of cohort-level training, and a Flexible Fund for special projects. International applicants must cover visa costs and the international health surcharge.
Deadline
Jan 13, 2027
Country
United Kingdom
University
University of Leeds

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About this position
PhD opportunity at the University of Leeds in spatio-temporal statistical modelling for extreme rainfall events, climate prediction, and rare-event analysis.
This project develops advanced generalised linear/additive mixed models with covariate-dependent, dynamically estimated thresholds to improve prediction of when and where extreme rainfall will occur. The research sits within the UNRISK CDT and connects with work relevant to climate resilience, meteorology, data science, and high-performance computing. It aims to produce scalable methods for large climate datasets and may contribute a computational package for integration into UKCP18.
Funding: fully funded NERC studentship with full tuition fees, UKRI-rate stipend, £6000 research and training costs, and additional cohort training support. International applicants are welcome, but the number of awards is limited by UKRI rules and they must cover visa and health surcharge costs.
Eligibility: strong background in mathematics or statistics; some experience with R is required. Prior climate-system knowledge is not required.
Location: University of Leeds, Leeds, United Kingdom.
Deadline: 2027-01-13.
Funding details
Competition-funded PhD project within the UNRISK CDT. Offers 15-18 fully funded NERC studentships covering full university tuition fees, a personal stipend at standard UKRI rates, £6000 individual research and training costs, £5000 per student of cohort-level training, and a Flexible Fund for special projects. International applicants must cover visa costs and the international health surcharge.
What's required
Applicants should have a strong background in mathematics or statistics. Some familiarity with computational packages in R is required. Prior understanding of climate systems is not required and can be learned during the project. Applications are open to UK and international applicants, though international awards are limited by UKRI rules.
How to apply
Apply through the UNRISK/FindAPhD application route and review the UNRISK website for full details. Prepare your application materials and submit before the deadline. Check eligibility carefully if applying from outside the UK.
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