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University of Exeter

Just Landed

PhD Studentship: Machine Learning the Building Blocks of the Weather Forecast University of Exeter in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Jan 7, 2027

Country flag

Country

United Kingdom

University

University of Exeter

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Keywords

Computer Science
Environmental Science
Computational Science
Earth Science
Database Management
Software Development
Numerical Weather Prediction
Geophysical Fluid Dynamics
Interpretability
Statistics
Physics
ML

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About this position

[Home tuition fees plus an annual tax-free stipend for eligible students.]

This PhD studentship at the University of Exeter explores how machine learning can be used to model the building blocks of the weather forecast in a more interpretable, efficient, stable and robust way.

The project starts from a key challenge in modern machine-learning weather prediction: although ML weather models can outperform traditional approaches on some measures, they may be difficult to explain and can struggle outside the conditions seen during training. The research will investigate whether breaking the forecast system into its fundamental components and matching each one with an appropriate ML architecture can improve how physical processes are represented.

The successful researcher will work on questions around representational structure, robustness under changing conditions, and the extent to which this component-based approach can make ML weather prediction more human-understandable rather than a black box. A major emphasis is on improving trust in ML methods as they move toward operational use.

The studentship sits within a research environment that combines training, supervisory support and close links to the Met Office. The researcher will receive taught and self-study training, directed reading, supervisory discussions, hands-on coding, and regular hackathons. They will also gain experience through a CASE partnership and a long-running supervisor-Met Office collaboration, with opportunities to work closely with Met Office scientists and connect the research directly to weather forecasting and future forecast system development.

The project is designed to build specialist expertise in geophysical fluid dynamics and machine learning alongside transferable skills in software development, reproducibility, data management and scientific communication.

Funding details

Available

What's required

No specific degree classification, GPA, language test, or prior technical prerequisites are explicitly stated in the advert. The project indicates that the researcher will receive training in geophysical fluid dynamics and machine learning techniques, and will develop skills in software development, reproducibility, data management, and scientific communication.

How to apply

Apply through the University of Exeter funding application page. Use the advertised application link and submit the required materials by the deadline.

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