Pavitra Kumar
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PhD in AI-Modelling of Saltmarsh and Seagrass Vegetation for Coastal Protection Manchester Metropolitan University in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Home PhD tuition fees are covered for 6 years. The post includes approximately 60% research and 40% teaching. No stipend amount is stated.
Deadline
Oct 4, 2026
Country
United Kingdom
University
Manchester Metropolitan University

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About this position
Manchester Metropolitan University is advertising a PhD opportunity in AI-Modelling of Saltmarsh and Seagrass Vegetation for Coastal Protection.
The project is interdisciplinary and explores how AI, numerical modelling, and laboratory experiments can help explain how saltmarsh and seagrass ecosystems reduce wave energy and coastal flood risk. This is a strong fit for applicants interested in the intersection of computer science, environmental science, coastal engineering, geography, and climate resilience.
Funding: Home PhD tuition fees are covered for 6 years. The role is described as approximately 60% research and 40% teaching. No stipend amount is mentioned in the post.
Eligibility: The poster invites candidates with a background in AI, computer science, data science, environmental modelling, coastal engineering, geography, or a related field.
Institution: School of Computing and Mathematics, Manchester Metropolitan University.
Deadline: 4 October 2026. Start date: January 2027.
Interested applicants should read the full details and application instructions at the linked page and submit before the deadline.
Funding details
Home PhD tuition fees are covered for 6 years. The post includes approximately 60% research and 40% teaching. No stipend amount is stated.
What's required
Applicants should have a background in AI, computer science, data science, environmental modelling, coastal engineering, geography, or a related field. The project is interdisciplinary and suited to candidates interested in AI, numerical modelling, laboratory experiments, environmental science, and climate resilience.
How to apply
Review the full opportunity details using the provided link, then follow the application instructions on the linked page. Prepare an application highlighting your background in AI, modelling, or related fields. Submit before 4 October 2026.
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