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University of Exeter

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PhD Studentship: Detecting Ecological Change in Intertidal Habitats Using Repeat Photography and Machine Learning University of Exeter in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Jan 7, 2027

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Country

United Kingdom

University

University of Exeter

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Keywords

Computer Science
Environmental Science
Biology
Statistical Analysis
Artificial Intelligence
Marine Biology
Earth Science
Citizen Science
Statistics
ML

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About this position

[For eligible students, the studentship covers home tuition fees plus an annual tax-free stipend.]

This PhD studentship will investigate whether repeat photography, citizen science and machine learning can be combined to detect ecological change in intertidal habitats. The project addresses the challenge of monitoring highly dynamic coastal environments where conventional surveys are often limited by cost, spatial coverage and sampling frequency.

The Doctoral Researcher will work on designing repeat-photography surveys that can reliably capture ecological change across locations, seasons and environmental conditions. They will also develop and test machine-learning approaches that can handle variation in viewpoint, lighting, tidal state and image quality while still quantifying change from smartphone imagery.

A key part of the project is validation against the MarClim 25-year time series, which includes annual surveys of rocky intertidal species across 100 UK sites. The studentship therefore connects new image-based monitoring approaches with a long-running ecological dataset, offering a strong real-world test of the methods developed.

The project brings together expertise from four leading marine research and higher education institutions in the South West, giving the Doctoral Researcher access to complementary facilities, expertise and networks. Training will include fieldwork, experimental design, image analysis, machine learning, ecological monitoring, statistics, scientific writing and communication, along with stakeholder engagement and researcher-development opportunities.

This is an interdisciplinary marine ecology and AI project aimed at developing innovative tools for addressing ecological challenges in coastal habitats.

Funding details

Available

How to apply

Apply via the University of Exeter funding page using the application link provided. Check the studentship eligibility criteria before submitting your application.

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