Machine vision and AI for automated recognition of animal emotions

This studentship is based in the College of Arts, Technology and Environment.

This PhD will develop advanced machine‑vision and AI models to recognise emotional states in farm animals from whole‑body behaviour, addressing a key challenge in scalable welfare monitoring. Building on the Centre for Machine Vision’s extensive work in precision livestock technologies, the project will explore multimodal visual representations, behaviour tokenisation, and interpretable deep learning to identify emotionally salient cues in posture, movement dynamics, and spatiotemporal patterns in species such as pigs and cattle.

The research will focus on designing an emotion‑aware body‑language model capable of predicting affective state from video and will use existing curated datasets, annotation frameworks, and validated behavioural scoring approaches such as Qualitative Behavioural Assessment. Sub‑objectives include developing behavioural tokens for interpretability, assessing model robustness across individuals and contexts, and creating an evaluation framework that measures both classification performance and emotional trajectories over time.

The project is strongly supported by major interdisciplinary initiatives including the AWARE‑AI and HoliWell projects, ensuring immediate access to large‑scale datasets, established pipelines, and expert collaborators. Expected outputs include interpretable, scalable emotion‑recognition models, strong publication opportunities, and clear translational pathways into commercial precision‑livestock systems, contributing to UWE’s strategic aims and future REF impact.

If you have any questions about the studentship, please contact Professor Lyndon Smith at lyndon.smith@uwe.ac.uk.

The studentship is available from 1 October 2026 for a period of three years, subject to satisfactory progress and includes a tax-exempt stipend, which is currently £20,780 (2025/26) per annum.

In addition, full-time tuition fees will be covered for up to three years (Home).

Please submit your application online. When prompted use the reference number 2627-OCT-CATE13. 

Application deadline

The closing date for applications is 22 May 2026.

Apply now

Supporting documentation

You will need to upload your research proposal, all your degree certificates and transcripts and a recognised English language qualification is required.

You will need to provide details of two referees as part of your application.

Interview dates

It is expected that interviews will take place on weeks commencing June. If you have not heard from us by July, we thank you for your application but on this occasion you have not been successful.