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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
United Kingdom
University
University of Glasgow
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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
Associate Professor (Reader)
United Kingdom
Research Interests
Cloud Computing
Hardware Engineering
Model-driven Engineering
Geographical Science
Information Sharing
Professor
United Kingdom
Research Interests
Artificial Intelligence
Ml
Remote Sensing
Earth Science
Geography
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.