PhD Studentships in Marine Ecosystems, Plankton Biodiversity, and Coastal Ecology at University of Plymouth University of Plymouth in United Kingdom

The Marine Research Plymouth Alliance, comprising the University of Plymouth, Plymouth Marine Laboratory (PML), and The Marine Biological Association, is offering funded PhD studentships for October 2026. These opportunities are designed for talented candidates eager to join the UK's largest marine research community and contribute to world-leading research in marine and maritime science.

Three exciting PhD projects are available:

• Deep-Sea Vulnerable Marine Ecosystems: Ecology, Function and Management – This project focuses on understanding the ecology and management of deep-sea ecosystems, with an emphasis on vulnerable habitats and their conservation.
• Understanding Plankton Biodiversity and Ecosystem Change by Applying Machine Learning – A CASE studentship that integrates advanced data analysis and machine learning techniques to study plankton biodiversity and monitor ecosystem changes.
• Assessing Tipping Points in Temperate Coastal Ecosystems – This research investigates the integration of thermal landscapes, individual physiology, and community-level responses to heatwaves, aiming to predict and manage ecosystem tipping points.

Applicants should have a strong academic background in marine biology, ecology, environmental science, or related fields. Experience in machine learning or data analysis is desirable for the plankton biodiversity project. The studentships are fully funded, covering tuition fees and providing a stipend for living expenses. For full details on eligibility, funding, and application procedures, visit the University of Plymouth website.

These PhD positions offer the chance to work within a vibrant research community, access state-of-the-art facilities, and collaborate with leading scientists in marine research. The application deadline is October 1, 2026. Prospective candidates are encouraged to review the project details and apply online.