University of Eastern Finland
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Three PhD Positions in Data Science and AI for Spatial Data and Sustainable Mining University of Eastern Finland in Finland
Degree Level
PhD
Field of study
Computer Science
Funding
Three full-time, fixed-term doctoral researcher positions are offered for three years from 1 February 2027 or as agreed. The salary follows the Finnish university salary system, with the job-related component at levels 2–4 and a personal salary component of 6–50%; the initial total salary is approximately EUR 2,710–2,845 per month. Dedicated funding is available for conference participation, workshops, and scientific publications. Staff benefits include occupational health care, professional dev
Deadline
Nov 17, 2026
Country
Finland
University
University of Eastern Finland
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About this position
The University of Eastern Finland invites applications for three full-time Doctoral Researcher (PhD Student) positions in the Development of Data Science and AI for Spatial Data at the School of Computing, Kuopio campus, Finland. The positions are part of the ERC-funded MINE-THE-GAP project, which combines satellite imagery, mining reports, and artificial intelligence to map mining activities and their global environmental impacts.
Each doctoral researcher will lead a thesis in one of three areas: semantic segmentation of satellite images for mining land-use mapping; prediction of terrain-height changes from radar and optical time series to estimate mining waste; or multispectral and hyperspectral image classification to identify minerals and commodities at mining sites. The work involves large, multimodal Earth observation datasets, including Sentinel-1, Sentinel-2, LiDAR, and hyperspectral data, as well as scalable deep learning, machine learning, and computer vision.
Candidates should hold, or be completing, a Master's degree in a quantitative field such as Data Science, Computer Science, Engineering, Geoinformatics, Statistics, or a related discipline. Eligibility for postgraduate studies, admission eligibility for the LUMETO Doctoral Programme, strong written and spoken English, good Python or R programming skills, and an interest in machine learning and spatial data are required. Experience with PyTorch, TensorFlow, scikit-learn, Earth observation, geospatial data, cloud computing, or GitHub is advantageous.
The fixed-term appointments last three years from 1 February 2027 or as agreed. The initial salary is approximately EUR 2,710–2,845 per month under the Finnish university salary system, with dedicated support for conferences, workshops, and publications. Applicants must submit an English-language application, CV, publication list, degree and language certificates, transcript, and a one-page motivation letter by 17 November 2026 at 23:59 Finnish time.
Funding details
Three full-time, fixed-term doctoral researcher positions are offered for three years from 1 February 2027 or as agreed. The salary follows the Finnish university salary system, with the job-related component at levels 2–4 and a personal salary component of 6–50%; the initial total salary is approximately EUR 2,710–2,845 per month. Dedicated funding is available for conference participation, workshops, and scientific publications. Staff benefits include occupational health care, professional dev
What's required
Applicants must be eligible for postgraduate studies and hold a Master's degree in a quantitative field such as Data Science, Computer Science, Engineering, Geoinformatics, Statistics, or a related field, from a university or university of applied sciences, or an equivalent qualification from abroad. Applicants must meet the admission criteria of the LUMETO Doctoral Programme in Science, Forestry and Technology and have a good command of written and spoken English. Students in the final stages of a Master's degree may apply if they complete the degree and submit the certificate by 15 December 2026. Good programming skills, such as Python or R, and an interest in machine learning and spatial data are required. Experience with machine learning or deep learning frameworks such as PyTorch, TensorFlow, or scikit-learn, Earth observation or geospatial data, cloud computing, or collaborative software development such as GitHub is advantageous, although willingness to learn is welcomed.
How to apply
Submit the electronic application through the Varbi recruitment portal by 17 November 2026 at 23:59 Finnish time (UTC+2). Include a CV, publication list, degree and language-proficiency certificates, transcript of records, and a maximum one-page motivation letter ranking preferred research topics. Applications should be submitted in English.
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ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.