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University of Plymouth

PhD in Marine Biodiversity Monitoring Using Plankton Imaging and Machine Learning University of Plymouth in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

This PhD studentship offers two different funding options. Details on whether the position is fully or partially funded, stipend amounts, and tuition coverage are available on the University of Plymouth website. Professional support and networking opportunities are provided through the Marine Research Plymouth Alliance and associated research units.

Deadline

Expired

Country flag

Country

United Kingdom

University

University of Plymouth

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Keywords

Computer Science
Environmental Science
Biology
Artificial Intelligence
Earth Science
Oceanography
Sensor Technology
Ecosystem Monitoring
Machinelearning
Marine Biodiversity

About this position

The University of Plymouth Marine Institute is offering a funded PhD opportunity focused on advancing plankton imaging and machine learning to transform marine biodiversity monitoring. This project addresses the critical need for improved plankton monitoring to detect biodiversity shifts and forecast climate impacts, which are essential for effective policy and conservation efforts.

The studentship leverages recent advances in AI-powered image analysis and innovative sensor technology to expand the scope and accuracy of marine ecosystem assessments. The successful candidate will apply established policy indicators to new, high-resolution plankton imaging datasets, contributing to improved biodiversity assessments under the UK Marine Strategy and OSPAR frameworks.

Supervision is provided by a multidisciplinary team: Professor Abigail McQuatters-Gollop (University of Plymouth), Dr Clare Ostle (Marine Biological Association), Professor Adrien Desjardins (University of British Columbia), Dr James Scott (Cefas), and Dr Saskia Rühl (Plymouth Marine Laboratory). The project is supported by the Marine Research Plymouth Alliance and offers access to the Plankton & Policy Research Unit and early career networks.

Applicants should have a strong background in marine ecology, environmental science, computer science, or related fields, with experience in machine learning or AI highly desirable. The PhD offers two funding options (MRP and SERVO), with details on financial support and eligibility available on the University of Plymouth website. The application deadline is December 28, 2025.

To apply, candidates should visit the University of Plymouth website, review the full adverts for both funding options, and submit their application online. This opportunity is ideal for those passionate about marine science, AI, and research with direct policy impact.

Funding details

This PhD studentship offers two different funding options. Details on whether the position is fully or partially funded, stipend amounts, and tuition coverage are available on the University of Plymouth website. Professional support and networking opportunities are provided through the Marine Research Plymouth Alliance and associated research units.

What's required

Applicants should have a strong background in marine ecology, environmental science, computer science, or a related field. Experience with machine learning, image analysis, or AI is highly desirable. Candidates should be passionate about research with policy impact and able to work collaboratively in multidisciplinary teams. Specific degree requirements and eligibility criteria are detailed on the University of Plymouth website.

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Professors

Professor at University of Plymouth

University Name
Country flag

United Kingdom

Research Interests

Marine Biology

Oceanography

Biology

Environmental Science

Computer Science

Professor

University Name
Country flag

Canada

Research Interests

Artificial Intelligence

Oceanography

Marine Biodiversity

Machinelearning

Sensor Technology