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Leeds Beckett University

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Funded PhD in injury identification and performance analysis in sport using video tracking systems Leeds Beckett University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 17, 2026

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Country

United Kingdom

University

Leeds Beckett University

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Keywords

Computer Science
Data Science
Biomedical Engineering
Biology
Computer Vision
Medical Statistics
Medical Science
Sports Analytics
Econometric
Statistics
Tracking Systems

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About this position

Funded PhD studentship at Leeds Beckett University (Carnegie School of Sport) in collaboration with Hawk-Eye Innovations.

The project focuses on injury identification, performance analysis, video tracking systems, computer vision, biomechanics, data science, and sports analytics. The successful candidate will investigate how Hawk-Eye tracking data can be synchronised with coded video footage and other data sources to identify injurious events, quantify movement characteristics, and improve algorithms for injury surveillance and performance analysis.

Research will initially focus on suspected head injuries in rugby union and rugby league, with opportunities to expand into additional sports. The project involves applied work with sporting organisations and technology partners, and may include travel for data collection and collaboration meetings.

This is a 3-year full-time PhD with one funded place. Funding includes Home (UK) fees and a stipend of £21,805, plus research support funding, access to facilities, and a laptop. International candidates may apply but must pay the international fee top-up.

Eligibility highlights: a first-class or upper second-class undergraduate degree in sport science, biomechanics, computer science, data science, engineering, mathematics, or a related discipline; a relevant Master’s degree is desirable. Experience with programming, machine learning, statistics, video analysis, or elite sport is advantageous.

Primary research location: Leeds, United Kingdom. Start date: 1 October 2026. Interviews: 7–11 September 2026. Application reference: 2026-October-HAWKEYE/CSS-PhD.

Apply via the project link on FindAPhD and consider contacting the supervisory team before submitting an enquiry.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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