The University of Exeter is advertising a competitive PhD on uncertainty in European windstorm risk modelling. UK and international applicants may compete for funding. The deadline is 13 January 2027. Applicants should consider the research fit and financial conditions together before deciding whether to apply.
Research Focus
The project examines the East Atlantic Pattern and extreme wind risk. It develops statistical methods, history matching and uncertainty analysis for catastrophe models. Comparisons with observations inform the treatment of model discrepancies. Read the project description as a starting point for identifying a question that interests you, rather than assuming that every possible method will appear in the eventual thesis.
Location and Academic Team
The university base is Exeter, United Kingdom. The research concerns European windstorms. Mathematics and Statistics hosts the opportunity. It forms part of UNRISK. Professor David Stephenson and Dr Matthew Priestley are named supervisors. The work links meteorological data with risk modelling.
Who Can Apply
The project requires advanced statistical-method development and work with large meteorological datasets; quantitative undergraduate preparation is desirable. Check the current programme requirements for the precise qualifications and supporting documents needed. A relevant subject or an eligible nationality does not by itself guarantee admission or an award.
Funding and International Conditions
UNRISK offers 15–18 awards across the programme, covering full tuition, a UKRI-rate stipend, £6,000 individual research support and £5,000 cohort training per student. International awards are limited, with visa and Immigration Health Surcharge expenses remaining personal costs. Confirm the applicable stipend and written award terms before making financial commitments.
Exploring the Research Problem
For optional preparation, imagine that two models give different estimates for the same event and both have known weaknesses. Ask what evidence would be needed before deciding how to use their outputs together. Explain why agreement between the models would not automatically establish that both are accurate. This is a hypothetical research-thinking exercise, not an advertised assessment task, an insurance recommendation or a forecast of losses for a real place or organisation.
You could extend the example by considering whether a model matches a historical observation for the right reasons or through compensating assumptions. Write down a comparison that might expose that distinction and identify what it still could not resolve. Keep uncertainty about inputs separate from a mismatch in how the model represents the system. A bounded discussion of those issues can help demonstrate research interest without requiring you to present a simple exercise as a complete catastrophe-risk evaluation.
Presenting Evidence of Preparation
If you have undertaken a statistical analysis, explain the question, the dataset, your individual contribution and how you judged the result. Describe a comparison that helped you recognise an assumption or limitation that was not obvious at first. If your experience concerns another application area, explain the transferable methods and distinguish them from meteorological expertise you do not yet possess. Use concrete evidence of your mathematical or programming preparation and identify a realistic learning goal connected to the advertised research direction. Keep a precise account of which checks you completed and which possible extensions remained outside the scope of the work.
If supporting materials are requested, make your individual contribution clear when discussing work completed with other people. Distinguish a class exercise, an unpublished report and a peer-reviewed research output instead of presenting them as equivalent achievements. Explain what your evidence can establish and what remained unresolved, including any limitation that would matter to the conclusion. Adapt these preparation suggestions to the actual application questions, since optional advice does not add requirements to the programme’s document checklist or guarantee a particular assessment outcome.
How to Apply
Use the current programme instructions to establish the submission route and complete supporting-document checklist. Review the exact project title and academic contacts wherever the form asks you to identify your research preference. An informal academic conversation can clarify fit, but it does not replace a formal application or constitute an admission or funding offer.
- View scholarship details and follow the linked institutional application instructions.
- Identify this named project and check the current academic and funding requirements.
- Submit through the specified route by 13 January 2027 and retain confirmation.
Before Submitting
Information was checked on 23 October 2026. Reconfirm the deadline and current terms before submission, particularly where your ability to enrol depends on receiving an international award. Keep a copy of the final form and any written clarification that materially affects your eligibility, financial expectations or decision to accept an offer.