PhD in ML Video Analytics for Wind Hazard Mapping

European Geosciences Union e.V.; Loughborough; On-site; GBP 20,000 - 24,000; Full time

Job summary

Loughborough University invites applications for a 3.5-year PhD studentship commencing October 2027. The role focuses on seeing extreme winds through machine learning applied to video to better estimate site-specific wind hazard.

The project funds a tax-free stipend (£21,805 p.a.) and UK tuition fees, with a campus-scale living lab setup and interlinked data from ERA5. The research teams will combine optical flow from video with ML, laser scanning, and a digital twin of trees to map gusts and

Qualifications

• PhD studentship offers 3.5 years funded from October 2027 with a tax-free stipend (£21,805 p.a.) and UK-rate tuition fees (£5,238).
• Excellent international student eligibility with fee waiver for the difference Home vs International for one candidate.
• Training covers machine learning, image processing, Python/R, applied meteorology and fieldwork.

Responsibilities

• Set up a campus-scale living lab at Loughborough University with cameras and anemometers.
• Combine dataset with ML, laser scanning and a physics-based digital twin of trees.
• Link small-scale observations to ERA5 and other historical weather data.
• Support training in ML, image processing and fieldwork.

Skills

Machine learning

Image processing

Fieldwork

Tools

Python

R

Job description

Loughborough University invites applications for a 3.5-year PhD studentship commencing October 2027. The role focuses on seeing extreme winds through machine learning applied to video to better estimate site-specific wind hazard.

The project funds a tax-free stipend (£21,805 p.a.) and UK tuition fees, with a campus-scale living lab setup and interlinked data from ERA5. The research teams will combine optical flow from video with ML, laser scanning, and a digital twin of trees to map gusts and