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University of Glasgow

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Funded PhD in AI-Driven Earth Observation and UK Land Cover Classification University of Glasgow in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

A funded 3.5-year PhD studentship is available through the ExaGEO DLA. The post does not specify the stipend amount or detailed tuition and expense coverage.

Deadline

Jan 31, 2027

Country flag

Country

United Kingdom

University

University of Glasgow

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Keywords

Computer Science
Environmental Science
Remote Sensing
Geography
Artificial Intelligence
Earth Science
Geographical Science
ML

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Posted Yesterday

About this position

The University of Glasgow is offering a funded 3.5-year PhD studentship through the ExaGEO DLA on the next generation of AI-driven earth observation.

The doctoral research will focus on transforming UK land cover classification using artificial intelligence and earth observation approaches. The project is positioned to support improved understanding and monitoring of environmental change, with the broader aim of helping address global environmental crises.

This is a multidisciplinary research opportunity involving the University of Glasgow, the UK Centre for Ecology & Hydrology, and Lancaster University. The supervisory team includes Yehia Elkhatib, Jeremy Carter, Clare Rowland, Duncan Whyatt, and Michael Hollaway, bringing together expertise relevant to computing, environmental observation, ecology, hydrology, and geographic analysis.

The project offers a research environment at the intersection of computer science, geospatial analysis, remote sensing, environmental science, and land-cover mapping.

Funding details

A funded 3.5-year PhD studentship is available through the ExaGEO DLA. The post does not specify the stipend amount or detailed tuition and expense coverage.

What's required

Applicants should meet the eligibility and application requirements specified on the linked PhD topic and application-process pages. The post does not provide detailed degree, skills, academic, or language-test requirements.

How to apply

Review the PhD topic details at https://lnkd.in/eTXs2sRe and the application requirements and process at https://lnkd.in/ez2--5ck. Submit the application by 31 January 2027. Email the relevant contacts with queries.

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Professors

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University Name
Country flag

United Kingdom

Research Interests

Cloud Computing

Hardware Engineering

Model-driven Engineering

Geographical Science

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Professor

University Name
Country flag

United Kingdom

Research Interests

Artificial Intelligence

Ml

Remote Sensing

Earth Science

Geography