PhD: ML-Driven Video Wind Sensing for Site Hazards in Loughborough

PhD: ML-Driven Video Wind Sensing for Site Hazards in Loughborough

Loughborough Full-Time On-site
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Loughborough University invites applications for a PhD studentship exploring extreme winds using machine learning applied to video clips to better estimate site-specific wind hazard. The project runs 3.5 years from October 2027 with a tax-free stipend and tuition fees covered.

You will install cameras and anemometers, develop ML/video analysis pipelines, and link results to historical data to inform hazard mapping for potential national scale use.

PhD: ML-Driven Video Wind Sensing for Site Hazards in Loughborough employer: European Geosciences Union (EGU)

The University of Edinburgh is an exceptional employer, offering a vibrant academic environment in the heart of Scotland's capital. With a strong commitment to diversity and inclusion, the School of GeoSciences fosters a collaborative culture that encourages innovative research and teaching excellence. Employees benefit from extensive professional development opportunities, access to world-class resources, and the chance to engage in impactful research addressing global challenges, making it a rewarding place for those passionate about hydrology and environmental sciences.

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Contact Details:

European Geosciences Union (EGU) Recruitment Team