University of Exeter
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PhD in Uncertainty in Risk Modelling of European Windstorms, East Atlantic Pattern, and History Matching University of Exeter in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Part of 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 student visa costs and the international health surcharge (IHS).
Deadline
Jan 13, 2027
Country
United Kingdom
University
University of Exeter

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About this position
PhD opportunity at the University of Exeter in Statistics, Climate Science, Data Science, Meteorology, Environmental Physics, and Mathematical Modelling.
This project, supervised by Prof David Stephenson and Dr Matthew Priestley, focuses on understanding uncertainty in risk modelling of European windstorms, with particular attention to the East Atlantic Pattern, extreme wind gusts, climate variability, and history matching / uncertainty quantification in catastrophe models.
The research has two main themes: (1) how the East Atlantic Pattern influences local windstorm risk hotspots in Western Europe and how this pattern may change in the future under climate change and possible Atlantic Meridional Overturning Circulation slowdown; and (2) how to improve catastrophe-model loss simulations using rigorous uncertainty quantification methods such as emulation, history matching, and importance resampling.
Applicants should have an undergraduate degree in a quantitative subject such as statistics, mathematics, data science, computer science, physics, or climate science. Strong ability to develop advanced statistical methods and work with large meteorological datasets is important, and an interest in weather and climate science is desirable.
This is a fully funded PhD within the UNRISK CDT, with full university tuition fees, a stipend at standard UKRI rates, £6000 for individual research and training costs, £5000 per student for cohort-level training, and access to a Flexible Fund for special projects.
Applications are open to UK and international applicants, although international awards are limited by UKRI rules. International applicants should note they must cover visa and international health surcharge costs.
The listing is for a PhD project at the University of Exeter, United Kingdom. The deadline shown on the page is 13 January 2027.
Funding details
Part of 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 student visa costs and the international health surcharge (IHS).
What's required
An undergraduate degree in a quantitative subject such as statistics, mathematics, data science, computer science, physics, or climate science is desirable. Applicants should be able to develop advanced statistical methods and apply them to large meteorological data sets, and an interest in weather and climate science would be beneficial.
How to apply
Apply through the UNRISK website and the FindAPhD listing. Review the project details and submit an application via the programme/application page.
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