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University of Gothenburg
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PhD in Remote Sensing of Arctic Landscape Change and Physical Geography University of Gothenburg in Sweden
Degree Level
PhD
Field of study
Computer Science
Funding
The PhD project is funded by the Department of Earth Sciences. The position is a 100% temporary doctoral employment, with salary governed by the University of Gothenburg's local doctoral-student salary agreement. Up to 20% of working time may involve departmental duties, with a corresponding extension of the study period. Optional Arctic drone-data collection would require the candidate to secure additional external scholarship or funding support.
Deadline
Dec 18, 2026
Country
Sweden
University
University of Gothenburg
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About this position
The University of Gothenburg is offering a doctoral project in Physical Geography focused on remote sensing of Arctic landscape change. Based in the Department of Earth Sciences, the project addresses how rapidly warming Arctic environments are changing through interacting processes of vegetation “greening,” landscape “wetting,” snow dynamics, and bare-ground change.
The doctoral researcher will combine drone observations collected across the Arctic with a decade of multispectral Sentinel-2 satellite imagery. Using remote sensing, machine learning, and artificial intelligence, the project will develop improved approaches for mapping and analysing Arctic land-cover change. The resulting data products will help reveal how coupled landscape changes affect ecosystem functioning and support better representation of the Arctic in regional and global Earth System models.
The researcher will conduct independent work, process and analyse multi-source spatial data, develop advanced analytical methods, publish scientific results, present at conferences, and collaborate with project partners and Arctic research networks. The project may also provide an opportunity to collect drone data in the Arctic.
The student will join the research group led by Jakob Assmann at the Department of Earth Sciences. The group is part of a wider Arctic research community involving Earth Sciences and Biological and Environmental Sciences researchers at the University of Gothenburg, as well as international partnerships including the High Latitude Drone Ecology Network and the Circumpolar Arctic Vegetation Initiative. The environment emphasises collaboration, inclusion, scientific excellence, personal wellbeing, and a healthy work-life balance.
Funding details
The PhD project is funded by the Department of Earth Sciences. The position is a 100% temporary doctoral employment, with salary governed by the University of Gothenburg's local doctoral-student salary agreement. Up to 20% of working time may involve departmental duties, with a corresponding extension of the study period. Optional Arctic drone-data collection would require the candidate to secure additional external scholarship or funding support.
What's required
Applicants must meet Swedish general eligibility requirements for third-cycle education: a second-cycle degree, or at least 240 higher-education credits including 60 credits at second-cycle level, or equivalent knowledge. Specific eligibility requires a relevant second-cycle degree or equivalent studies in natural sciences, such as physical geography, Earth sciences, environmental science, physics, or related fields. Applicants nearing completion of their second-cycle degree may apply if it is completed before the start date. Candidates should demonstrate strong interest in remote sensing and data science for Arctic change, foundations in remote sensing or data science, excellent coding skills such as Python or R, and strong written and spoken English. Experience with machine learning, deep learning and AI, foundation models or embeddings, satellite and drone data, large spatial datasets, GIS, and fieldwork is advantageous.
How to apply
Apply in English through the University of Gothenburg recruitment portal. Submit a maximum-two-page cover letter, CV, relevant degree certificates and graded transcript, Master's thesis or equivalent, and contact details for two references; additional relevant documents may be included.
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