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Zhou Zhou

6 days ago

PhD in Physics-Aware Graph Neural Networks for Robust Short-Term Visibility Forecasting University of Exeter in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Dec 8, 2026

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Country

United Kingdom

University

University of Exeter

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Keywords

Computer Science
Environmental Science
Aerospace Engineering
Climatology
Atmospheric Science
Earth Science
Numerical Weather Prediction
Statistics
Physics
ML

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About this position

[Funding covers fees plus a stipend per annum for 2026/7; stipend amount stated as £21,805.]

University of Exeter offers a PhD studentship in Physics-Aware Graph Neural Networks for Robust Short-Term Visibility Forecasting at the Penryn Campus in the United Kingdom.

This project addresses the challenge of forecasting low-visibility events for safe and efficient transport, especially aviation. The research will develop physics-aware spatio-temporal graph neural networks (STGNNs) for 0–6 hour visibility prediction, with an initial focus on low-visibility events below 1000 m in southeast England. The project combines machine learning, atmospheric science, and operational meteorology to improve the reliability and interpretability of short-term forecasts.

The PhD is structured around six linked work packages: characterising low-visibility events and benchmark methods; developing graph-based forecasting models; linking internal ML representations with atmospheric physics; building physics-aware multi-source learning approaches; improving robustness under missing or degraded observations; and evaluating the approach with Met Office scientists for operational translation.

Supervision is led by Dr Zhou Zhou with contributions from Prof. Georgios Efstathiou and Prof. Cyril Morcrette, alongside operational input from Steven Ramsdale at the Met Office. The student will work across Exeter’s data-centric engineering and atmospheric-science communities and may, subject to availability, undertake a Met Office placement or secondment.

Funding is available and includes fees plus a stipend for 2026/7. The stipend amount is stated as £21,805.

The application deadline is 8 December 2026. Applicants should use the University of Exeter application link for full details and submission instructions.

Funding details

Available

How to apply

Apply via the University of Exeter funding/application link. Submit your application before the deadline of 8 December 2026. Use the provided project page for full details and eligibility information.

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Professors

Prof. at University of Exeter

University Name
Country flag

United Kingdom

Research Interests

Fluid Mechanics

Meteorology

Thermal Convection

Large Eddy Simulation

Atmospheric Dynamics

Prof. at University of Exeter

University Name
Country flag

United Kingdom

Research Interests

Statistics

Climatology

Numerical Weather Prediction

Earth Science

Environmental Science