Physics-Aware Graph Neural Nets for Short-Term Visibility in Penryn

Physics-Aware Graph Neural Nets for Short-Term Visibility in Penryn

Penryn Full-Time On-site
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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 Β£21,805 per year for 2026/27.

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Physics-Aware Graph Neural Nets for Short-Term Visibility in Penryn employer: University of Exeter

The University of Exeter is an exceptional employer, offering a supportive and inclusive work environment that prioritises employee wellbeing and professional growth. With flexible working opportunities, generous annual leave, and a commitment to diversity and social justice, staff can thrive while contributing to meaningful initiatives that enhance student employability. Located in Exeter, this role provides a unique chance to engage with a diverse community and make a tangible impact on the future of underrepresented students.

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Contact Details:

University of Exeter Recruitment Team