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University of Exeter

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Fully Funded PhD Studentship in Machine Learning, Statistics, Mathematics, and AI for Environment and UK Policy University of Exeter in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 12, 2026

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Country

United Kingdom

University

University of Exeter

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Keywords

Computer Science
Environmental Science
Mathematics
Artificial Intelligence
Biodiversity
Land Use
Ecological Modeling
Environment
Energy Security
Statistics
Machine learning

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About this position

UNRISK CDT is advertising a fully funded PhD studentship for an October 2026 start at the University of Exeter (LEEP Institute). The project sits at the intersection of machine learning, statistics, mathematics, and AI, with an applied focus on making a difference in the environment and UK policy.

The studentship will involve working with Prof Daniel Williamson, Dr Amy Binner, and Defra. The post highlights themes including net zero, biodiversity, energy security, land use, agri-environment, and environmental modelling.

Eligibility: UK/Home fee rated applicants only. The post explicitly asks for a strong background in machine learning, statistics, or mathematics.

Funding: Fully funded PhD studentship.

Deadline: Applications close at midnight on Wednesday 12 August 2026. Interviews are likely to be held on 3–4 September 2026.

How to apply: Use the University of Exeter link provided in the post to view the full advert and application instructions, then submit before the deadline.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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