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productivity across northern regions. The research will leverage unique, long-term datasets from Fennoscandian lakes— including climate data, water chemistry, biotic indicators, and satellite remote sensing
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. The research includes development of growth models, crop production management with remote sensing tools and spectral techniques, and agronomic studies. Ongoing projects involve the use of optical and radar
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quality and quantity in agricultural systems. At the division, there are about 35 employees and around 20 PhD students. The current position is within the Remote Sensing and AI in Hydrology research group
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effective climate adaptation strategies and policy decisions. Information about the division and the department You will be part of the Division of Geoscience and Remote Sensing within the Department