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Pavitra Kumar

1 month ago

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 flag

Country

United Kingdom

University

Manchester Metropolitan University

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Keywords

Computer Science
Data Science
Environmental Science
Biology
Geography
Artificial Intelligence
Civil Engineering
Earth Science
Coastal Engineering
Ecological Modeling
Wave Energy
Climate Resilience
Flood Risk
Statistics
Laboratory Experimentation

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.

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Professors

Lecturer

University Name
Country flag

United Kingdom

Research Interests

Hydrology

Hydrogeology

Water Resources

Forecasting

Artificial Neural Network