Publisher
source

Robert Ellis

2 months ago

PhD in Environmental Biosensors, Mussel Behaviour, and Machine Learning for Water Quality Monitoring University of Exeter in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

This is a fully-funded PhD position under the EPSRC Doctoral Landscape Award, covering tuition fees and providing a stipend for living expenses. Funding is available for UK students; international applicants may need to cover the difference in tuition fees.

Deadline

Expired

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Country

United Kingdom

University

University of Exeter

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Keywords

Computer Science
Machine Learning
Environmental Science
Biology
Water Quality Management
Ecophysiology
Biosensors
Biosciences
Engineering
Sustainable Aquaculture

About this position

A fully-funded PhD opportunity is available at the University of Exeter, focusing on the development of next-generation environmental biosensors by harnessing mussel behaviour and machine learning for coastal water quality monitoring. The project is part of the Engineering and Physical Sciences Research Council (EPSRC) Doctoral Landscape Award and is based in the Biosciences department. The research aims to transform water quality analysis through a fully automated environmental monitoring solution, integrating interdisciplinary approaches from biology, environmental science, and computer science.

The successful candidate will join a collaborative supervisory team led by Robert Ellis (Senior Lecturer in Ecophysiology and Sustainable Aquaculture, University of Exeter), Dr Zhou Zhou (Engineering, University of Exeter), and Prof. Mike Allen (SeaGen). The project will involve working with living sensors, specifically mussels, to monitor and analyze water quality using advanced machine learning techniques. This interdisciplinary research is ideal for students interested in environmental biosensors, aquatic biology, sustainable aquaculture, and computational analysis.

Applicants should have a strong academic background in biology, environmental science, engineering, or computer science, with experience or interest in biosensors, aquatic biology, machine learning, or water quality monitoring. The position is fully funded for UK students, covering tuition fees and providing a stipend for living expenses. International applicants may need to cover the difference in tuition fees. The application deadline is 12th January 2026, and interested candidates should apply via the University of Exeter application portal, ensuring all supporting documents are prepared and eligibility criteria are met.

For more information, visit the University of Exeter funding page or contact the supervisory team. This opportunity offers a unique chance to contribute to innovative research in environmental monitoring and biosensor technology within a leading UK institution.

Funding details

This is a fully-funded PhD position under the EPSRC Doctoral Landscape Award, covering tuition fees and providing a stipend for living expenses. Funding is available for UK students; international applicants may need to cover the difference in tuition fees.

What's required

Applicants should hold or expect to obtain a first or upper second class UK Honours degree, or equivalent, in a relevant subject such as biology, environmental science, engineering, or computer science. Experience or interest in biosensors, aquatic biology, machine learning, or water quality monitoring is desirable. Strong analytical and communication skills are preferred.

How to apply

Apply online via the University of Exeter application portal. Review the full project details and eligibility criteria on the university website. Prepare your CV and supporting documents. Use the provided application link to submit your application before the deadline.

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