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University of Nottingham

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Senior Postdoc in Equine Behaviour, Veterinary Science, and Computer Vision University of Nottingham in United Kingdom

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 5, 2026

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Country

United Kingdom

University

University of Nottingham

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Keywords

Computer Science
Data Science
Biomedical Engineering
Biology
Animal Behavior
Veterinary Science
Computer Vision
Equine Science

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About this position

Vet Vision AI is sharing a senior postdoc opportunity with the University of Nottingham School of Veterinary Medicine and Science and Johnston Racing. This is a three-year, full-time research post based at the Sutton Bonington campus in the United Kingdom, focused on equine behaviour, musculoskeletal injury, and computer vision technology used in real-world racehorse settings.

The project is described as an HBLB-funded programme designed to combine rigorous science with practical deployment. The team includes vets, computer vision engineers, and data scientists, and the role is intended for someone who can lead delivery across both research and industry. The post appears especially relevant to candidates with expertise in veterinary science, equine science, animal behaviour, computer vision, and data science.

Funding/salary: £32,080 to £47,389, with a minimum of £35,608 for candidates with a relevant PhD.

Eligibility highlights: strong equine behaviour and veterinary expertise; ability to steer project delivery across research and industry. The post is a postdoctoral research associate role rather than a PhD or master's opening.

Deadline: Wednesday 5 August 2026. The post says there are 12 days left to apply.

How to apply: Use the vacancy/application link in the post and review the job page for full details. Questions can be directed to Robert Hyde.

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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