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PhD Opportunity in Marine Ecology, Fisheries Monitoring, and Computer Vision at the University of Plymouth University of Plymouth in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Supported by the University of Plymouth and Natural England. The post does not specify stipend amount, tuition coverage, or whether the studentship is fully funded, but it is presented as a funded PhD opportunity.
Deadline
Oct 29, 2026
Country
United Kingdom
University
University of Plymouth

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About this position
An exciting PhD opportunity is available in the School of Biological and Marine Sciences at the University of Plymouth, led by Dr Benjamin Ciotti and working with Oliver Tills, Ziad Ibbini, and colleagues from the EmbryoPhenomics team.
This project is supported by the University of Plymouth and Natural England and will develop and apply camera-based approaches to understand how juvenile fish use different inshore habitats. The research sits at the intersection of marine ecology, fisheries ecology, conservation ecology, imaging technology, and computer vision.
Applicants should be interested in using novel approaches to fisheries and conservation ecology, including underwater camera deployments and AI-based video processing to tackle important ecological questions and improve monitoring of coastal fish populations. The project is especially relevant for students who want to work on conservation and fisheries management applications with direct ecological impact.
Application deadline: 29 October 2026.
How to apply: Read the project details and application guidance on the University of Plymouth page linked in the post, then follow the university instructions to submit your application before the deadline.
Funding details
Supported by the University of Plymouth and Natural England. The post does not specify stipend amount, tuition coverage, or whether the studentship is fully funded, but it is presented as a funded PhD opportunity.
What's required
Candidates should have an appetite for using novel approaches to fisheries and conservation ecology, with interest in combining widespread underwater camera deployments and AI-based video processing. The project is suited to applicants interested in marine ecology, imaging technology, computer vision, and ecological monitoring. No specific degree class, language test, or GPA requirement is stated in the post.
How to apply
Read the project page and application instructions at the linked Plymouth webpage. Submit an application before 29 October 2026. Follow the university instructions on the project page for full details.
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