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University of Birmingham

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PhD Studentship: CENTA 2027-B11 Learning the changing extremes of European precipitation in a warming climate University of Birmingham in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Jan 6, 2027

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Country

United Kingdom

University

University of Birmingham

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Keywords

Computer Science
Environmental Science
Mathematics
Predictive Modeling
Artificial Intelligence
Climatology
Earth Science
Statistics
Statistical Modelling
Cambio Climático
Physics

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About this position

[Funded through the CENTA3 DLA by the Natural Environment Research Council (NERC). Funding covers an annual stipend, tuition fees at home-fee level, and a Research Training Support Grant.]

This PhD studentship focuses on understanding and modelling extreme precipitation events in Europe under a warming climate. The project addresses the challenge of estimating very rare, high-impact rainfall events whose frequency and intensity are difficult to assess in both the current climate and future warming scenarios.

The student will develop and test a novel approach that combines artificial intelligence with Extreme Value Theory (EVT) to estimate rare-event rainfall distributions. A central aim is to determine whether AI–EVT models trained on reanalyses and large hindcast ensembles can produce reliable estimates of regional extreme rainfall across different global warming levels and circulation regimes.

The topic sits at the intersection of climate diagnostics, statistical modelling, and machine learning, with a clear emphasis on understanding how rare precipitation extremes change as the climate warms. The project is framed around European rainfall extremes and their statistical behaviour over climatic time spans, making it highly relevant to climate risk assessment and future climate analysis.

This studentship is offered through the CENTA3 DLA at the University of Birmingham.

Funding details

Available

What's required

At least a 2:1 at UK BSc level or a pass at UK MSc level or equivalent. The project would best suit a student with a Computer Science background, or otherwise a numerical background such as Meteorology, Physics, or Maths, with experience coding in Python or similar languages such as R or Matlab, and preferably some experience in AI approaches. International applicants must meet the University of Birmingham’s international student entry requirements, including English language.

How to apply

Click the Apply button on the project page to apply. Read the CENTA studentship application guidance on the CENTA website before submitting.

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