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University of Exeter
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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
United Kingdom
University
University of Exeter
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About this position
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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Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.