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University of Edinburgh

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Fully Funded PhD in Statistics, AI, and Climate at the University of Edinburgh University of Edinburgh in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Two 4-year fully funded PhD opportunities starting September 2027 through the E5 Doctoral Training Partnership. Funding details beyond full funding are not specified.

Deadline

Dec 2, 2026

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Country

United Kingdom

University

University of Edinburgh

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Keywords

Computer Science
Environmental Science
Artificial Intelligence
Climate Science
Earth Science
Geographical Science
Flood Risk
Energy Security
Statistics
Physics
Extreme Value

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About this position

🚨 Two fully funded PhD opportunities are available at the University of Edinburgh through the E5 Doctoral Training Partnership, starting September 2027.

The projects sit at the intersection of Statistics, Artificial Intelligence, Climate Science, GeoSciences, and Mathematical Sciences. Project 1 focuses on stochastic generation of realistic UK rainfall extremes via generative AI, combining generative AI and extreme value theory to simulate rare rainfall events and improve understanding of flood risk, with collaboration from the UK Met Office. Project 2 examines the application of large climate datasets in energy security of supply analysis, developing statistical methods to assess electricity supply reliability under extreme climate events.

Supervisory teams include Jordan Richards, Sara Wade, Gabi Hegerl, Simon Brown, Chris Dent, Amy Wilson, and Simon Tett. The post does not list detailed eligibility criteria, but the research clearly suits applicants with interests in quantitative methods, climate modeling, climate data analysis, and AI-driven environmental research.

Deadline: 2 December 2026, 12 noon GMT.

How to apply: Visit the E5 DTP website for full project details and application instructions. For enquiries, contact [email protected].

Funding details

Two 4-year fully funded PhD opportunities starting September 2027 through the E5 Doctoral Training Partnership. Funding details beyond full funding are not specified.

What's required

Applicants are sought for 4-year PhD projects in Statistics, AI, and Climate. The post implies strong interest in statistical methodology, generative AI, extreme value theory, climate data analysis, and related quantitative research; no specific degree, GPA, or language requirements are stated in the post.

How to apply

Review the project details on the E5 DTP website and follow the application instructions there. For questions, contact Jordan Richards by email. Use the short link if needed for the specific posting.

More information can be found here

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