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University of Exeter

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PhD in AI for Net Zero land-use change and climate impact modelling University of Exeter in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Competition-funded PhD project within the UNRISK CDT. Offers 15-18 fully funded NERC studentships covering full university tuition fees, a personal stipend at standard UKRI rates, £6000 individual research and training costs, £5000 cohort-level training, and a Flexible Fund for special projects. International applicants may need to cover visa costs and the international health surcharge; 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
Agriculture
Mathematics
Forestry
Statistical Analysis
Geography
Artificial Intelligence
Mathematical Modeling
Climate Science
Earth Science
Econometric
Environmental Geography
Statistics
ML

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About this position

PhD opportunity at the University of Exeter on supporting policymakers to incentivise effective and equitable land use change for Net Zero with AI. The project sits within the UNRISK CDT and focuses on combining artificial intelligence, machine learning, statistics, and mathematical modelling to improve decision support for climate and land-use policy.

The research addresses how UK land can be used for tree planting, agroforestry, re-wilding, peatland restoration, bioenergy crops, and other green technologies while balancing biodiversity, water quality, food security, and value for money. The technical core includes deep Gaussian processes, uncertainty quantification, dimension reduction, tokenised weather series, and transformer-based approaches for climate impacts models. The project also involves scalable agent-based modelling of uptake of agri-environment schemes and comparison with methods such as automatic relevance determination and active subspaces.

Applicants should have a strong background in machine learning, statistics, or mathematics, and an interest in applying AI to environmental or UK policy problems. The project is especially relevant to students interested in environmental science, earth science, geography, and agriculture.

Funding is fully provided through the UNRISK CDT: tuition fees, a UKRI-rate stipend, research and training costs, cohort training support, and a flexible fund. Applications are open to UK and international applicants, though international awards are limited and visa/IHS costs may need to be covered by the applicant.

Deadline shown on the listing: 13 January 2027. Location: Exeter, United Kingdom.

Funding details

Competition-funded PhD project within the UNRISK CDT. Offers 15-18 fully funded NERC studentships covering full university tuition fees, a personal stipend at standard UKRI rates, £6000 individual research and training costs, £5000 cohort-level training, and a Flexible Fund for special projects. International applicants may need to cover visa costs and the international health surcharge; awards for international applicants are limited by UKRI rules.

What's required

Applicants should have a strong background in machine learning, statistics, or mathematics. The project is suited to students who want to learn novel AI techniques and apply them to environmental or UK policy challenges.

How to apply

Apply through the UNRISK CDT / FindAPhD application route and review the UNRISK website for full details. Check eligibility carefully, especially if applying from outside the UK. Submit your application before the stated deadline.

More information can be found here

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