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University of Exeter

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PhD in Designing Ensembles for Efficient Climate Model Emulation and Uncertainty Quantification University of Exeter in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Part of the UNRISK CDT offering 15-18 fully funded NERC studentships. Funding 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 a Flexible Fund for special projects. International applicants may need to cover student visa costs and the international health surcharge (IHS), and awards for international applicants are limited by UKRI rules.

Deadline

Jan 13, 2027

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Country

United Kingdom

University

University of Exeter

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Keywords

Computer Science
Data Science
Environmental Science
Mathematics
Mathematical Modeling
Climate Science
Uncertainty Analysis
Gaussian Processes
Econometric
Statistics
Physics
ML

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About this position

PhD opportunity at the University of Exeter in Mathematics and Statistics on designing ensembles for efficient climate model emulation and uncertainty quantification.

This project sits within the UNRISK CDT and focuses on climate science, applied statistics, data science, machine learning, mathematical modelling, and uncertainty quantification. The research aims to build statistical emulators for climate models, using methods such as Gaussian processes and sequential experimental design to reduce the cost of large climate simulations while improving probabilistic predictions. A key theme is translating model uncertainty into actionable tools for climate risk assessment and adaptation policy.

Supervision is listed with Prof P Challenor and Dr Hossein Mohammadi at the University of Exeter. The project is described as a good fit for students with a strong quantitative background in mathematics, statistics, data science, physics, or theoretical computer science, especially those interested in active learning, uncertainty quantification, and climate model simulations.

Funding: fully funded NERC studentship. Support includes full university tuition fees, a personal stipend at standard UKRI rates, £6000 for individual research and training costs, £5000 cohort-level training, and access to a Flexible Fund for special projects. International applicants are welcome, though awards are limited under UKRI rules and visa/IHS costs may need to be covered by the student.

Location: Exeter, United Kingdom.

Deadline: 2027-01-13.

Funding details

Part of the UNRISK CDT offering 15-18 fully funded NERC studentships. Funding 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 a Flexible Fund for special projects. International applicants may need to cover student visa costs and the international health surcharge (IHS), and awards for international applicants are limited by UKRI rules.

What's required

Applicants should have a strong background in mathematics, statistics, data science, or another highly quantitative discipline such as physics or theoretical computer science. Interest or experience in Gaussian processes, uncertainty quantification, active learning, and climate model simulations is highly desirable. The project is suited to motivated researchers who want to bridge statistical theory and environmental policy.

How to apply

Apply through the FindAPhD/UNRISK application route and review the UNRISK website for full details. Check eligibility carefully, especially if you are an international applicant. Submit your application before the stated deadline.

More information can be found here

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