Physics-Aware Graph Neural Nets for Short-Term Visibility

University of Exeter; Penryn; On-site; GBP 20,000 - 24,000; Full time

Job summary

University of Exeter, Penryn Campus, invites applications for a PhD studentship to develop physics-aware spatio-temporal graph neural networks for 0–6 hour visibility forecasting, focusing on low-visibility events in southeast England.

Guided by an expert supervisory team, the project includes six work packages, with a Met Office placement possible, and will train the student at the interface of AI, atmospheric physics and operational meteorology; stipend £21,805 per year for 2026/27.

Job description

University of Exeter, Penryn Campus, invites applications for a PhD studentship to develop physics-aware spatio-temporal graph neural networks for 0–6 hour visibility forecasting, focusing on low-visibility events in southeast England.

Guided by an expert supervisory team, the project includes six work packages, with a Met Office placement possible, and will train the student at the interface of AI, atmospheric physics and operational meteorology; stipend £21,805 per year for 2026/27.