Postdoc: AI Welfare Analytics in Aquaculture

1000scholars; Stirling; On-site; GBP 39,000 - 46,000; Full time

Job summary

The University of Stirling’s Institute of Aquaculture seeks a Post-Doctoral Research Fellow to advance AI camera analytics for welfare and harvest management in aquaculture, in collaboration with Ace Aquatec. The appointment focuses on validating a novel batch electrical stunner across species such as shrimp and trout and testing sea lice detection underwater.

The successful candidate will lead behavioral welfare indicators from video, coordinate recording campaigns, and work with engineers to

Qualifications

• PhD in a relevant discipline.
• Experience in fish welfare and behaviour.
• Experience in image or video analysis, including using AI/computer vision tools.
• Experience with R or Python for data analysis.
• Experience designing and conducting laboratory-based animal behaviour studies.

Responsibilities

• Engage in individual and collaborative research as part of a team, delivering directly to the project objectives, and disseminate results through publication in high-impact journals and conference proceedings
• Design and conduct welfare-focused behavioural studies of target aquaculture species, including video-based data collection, annotation and analysis
• Contribute to the development and validation of AI/computer vision models for automated welfare assessment, working closely with the wider project team
• Support the validation and field testing of project technologies at commercial aquaculture sites

Skills

Video analysis

AI/Computer vision

R or Python

Experimental design

Education

PhD in a relevant discipline

Job description

The University of Stirling’s Institute of Aquaculture seeks a Post-Doctoral Research Fellow to advance AI camera analytics for welfare and harvest management in aquaculture, in collaboration with Ace Aquatec. The appointment focuses on validating a novel batch electrical stunner across species such as shrimp and trout and testing sea lice detection underwater.

The successful candidate will lead behavioral welfare indicators from video, coordinate recording campaigns, and work with engineers to