Postdoc: AI & Welfare Vision in Aquaculture

EMEA3 Recruitment; Stirling; On-site; GBP 35,000 - 45,000; Full time

Job summary

The University of Stirling is seeking a Post-Doctoral Research Fellow within its Institute of Aquaculture to work on an Innovate UK AgriScale-funded project focused on AI Camera Analytics for Welfare and Harvest Management in Aquaculture. The post will develop AI-driven welfare indicators and coordinate field trials with industry partners.

The candidate will lead behavioural welfare indicator development from video, supervise recordings and annotation, and work with Ace Aquatec to train and

Qualifications

• Experience in animal behaviour research, ideally in aquatic species.
• Practical skills in video-based behavioural analysis and/or applying computer vision or machine learning methods to biological data.
• Knowledge of experimental design for welfare science and translating research into deployable technology.

Responsibilities

• Engage in individual and collaborative research delivering project objectives and publish results.
• Design and conduct welfare-focused behavioural studies of target aquaculture species.
• Contribute to development and validation of AI/computer vision models for automated welfare assessment.
• Support validation and field testing of project technologies at commercial aquaculture sites.
• Supervise and train research staff and students where aligned with project activities.
• Engage with industry partners and contribute to collaborative decision-making.

Skills

Animal behaviour research

Video-based behavioural analysis

Computer vision

Machine learning methods

Experimental design

Job description

The University of Stirling is seeking a Post-Doctoral Research Fellow within its Institute of Aquaculture to work on an Innovate UK AgriScale-funded project focused on AI Camera Analytics for Welfare and Harvest Management in Aquaculture. The post will develop AI-driven welfare indicators and coordinate field trials with industry partners.

The candidate will lead behavioural welfare indicator development from video, supervise recordings and annotation, and work with Ace Aquatec to train and