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Climate AI Nordics Newsletter, March 2026
Published:
The February 2026 Climate AI Nordics newsletter features AI-driven mapping of urban climate vulnerability, Armi Tiihonen’s work on solar cell materials, and share a wealth of new job openings and upcoming workshops and seminars across the Nordic region.
Research Scientist (Postdoc) - Remote Sensing
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Natural Resources Institute Finland (Luke) is hiring a postdoctoral researcher for the "Digital Twin of Boreal Forest Structure" project, focusing on developing machine learning methods for large-scale, tree-level forest mapping using remote sensing data for biodiversity.
PhD Student for Sustainable and Resource-Efficient Machine Learning
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Linköping University is seeking a PhD student to research sustainable and resource-efficient machine learning, focusing on methodologies to reduce computational, energy, and storage demands, and associated carbon emissions, while maintaining model quality.
PhD Fellowship in Machine Learning for Wetland-Based Climate Change Mitigation
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The University of Copenhagen is offering a fully-funded PhD fellowship at its Department of Computer Science, focusing on developing novel machine learning methods to model greenhouse gas fluxes from wetlands using remote sensing and ground-level measurements for climate change mitigation.