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University of Exeter
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PhD Studentship: Autonomous satellite-linked acoustic monitoring of biodiversity and threats in the Celtic Sea University of Exeter in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Deadline
Jan 7, 2027
Country
United Kingdom
University
University of Exeter
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About this position
This PhD studentship at the University of Exeter focuses on developing an autonomous, satellite-linked acoustic monitoring payload for biodiversity and threat detection in the Celtic Sea. The project combines marine soundscape science with physical ocean-state sensing to support real-time environmental monitoring.
The research addresses how to distinguish biological signals from background noise in marine environments, with a strong emphasis on anthropogenic noise and ship-strike risk for cetaceans. A key scientific goal is to test whether concurrent acoustic and sea-state sensing can improve classification confidence and reduce false detections, creating a more rigorous basis for vessel-strike mitigation and ocean-state science.
The student will build on existing open-source technology, including an Iridium-linked hydrophone system, and integrate in-situ wave and sea-state sensing into a payload designed for edge processing. The project includes machine-learning components for acoustic classification and sea-state inference, with the aim of minimising data transfer while generating real-time evidence for threat assessment and marine spatial planning.
The work is closely connected to field and analytical research across Exeter and the partner environment at Plymouth Marine Laboratory. The student will contribute to soundscape research in the Celtic Sea, develop and bench-test hardware, and participate in deployment activities at sea. Training spans marine acoustics, machine learning, ocean technology, and the development of acoustic and oceanographic analytical methods.
The project sits within a collaborative research environment linking Exeter’s marine ecology and physical oceanography expertise with the Environmental Intelligence group at Plymouth Marine Laboratory. The student will work across workshop, computer-lab, and sea-based settings, supported by a multidisciplinary team and an inclusive research culture.
Funding details
Available
What's required
No specific academic grade, degree classification, or language test requirements are stated in the advert. The project seeks a student interested in marine acoustics, machine learning and ocean technology, with scope to develop hardware and analytical methods across workshop, computer-lab and sea-based work.
How to apply
Apply through the University of Exeter funding application page using the provided link. Review the project details carefully before submitting your application.
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