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
Country
United Kingdom
University
University of Edinburgh

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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.
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