University of Leeds
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PhD in Seamless Regional Climate Prediction, Uncertainty, and Adaptation Decision-Making University of Leeds in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded UNRISK CDT PhD studentship. Covers 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 access to a Flexible Fund for special projects. International applicants may need to cover visa and IHS costs.
Deadline
Jan 13, 2027
Country
United Kingdom
University
University of Leeds

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About this position
PhD opportunity at the University of Leeds in seamless regional climate prediction, uncertainty characterisation, and adaptation decision-making.
This project sits within the UNRISK CDT and explores how climate information spanning months to decades can support planning in climate-sensitive sectors. The research combines climate science, decision science, data science, and mathematical modelling to study how seamless regional climate predictions can be made useful for stakeholders.
Possible application contexts include health and water management, with case studies chosen to represent both high- and low-uncertainty settings. The project will examine regional climate predictions for the UK or Europe, and will investigate uncertainty across seasonal, interannual, decadal, and longer planning horizons.
Funding: fully funded studentship with full tuition, UKRI-rate stipend, research and training costs, cohort training support, and a flexible fund.
Eligibility: applicants should have a strong quantitative background and interest in applying quantitative methods to climate and decision science. Applications are open to UK and international candidates, though international awards are limited by UKRI rules.
Deadline: 2027-01-13.
Funding details
Fully funded UNRISK CDT PhD studentship. Covers 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 access to a Flexible Fund for special projects. International applicants may need to cover visa and IHS costs.
What's required
Applicants should have a strong quantitative background and be interested in applying quantitative skills to climate science and decision science. The project is open to UK and international applicants. International applicants will need to cover student visa costs and the international health surcharge (IHS).
How to apply
Apply through the UNRISK website and the University of Leeds PhD application route. Review the project details and funding information, then submit an application before the deadline.
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