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Low-Carbon ML Climate-Smart Forests & Wetlands
Job in
Welcome, Greenville County, South Carolina, USA
Listed on 2026-06-05
Listing for:
Climate AI Nordics
Full Time
position Listed on 2026-06-05
Job specializations:
-
Research/Development
Research Scientist, Artificial Intelligence
Job Description & How to Apply Below
Location: Welcome
Natural Resources Institute Finland (Luke)
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.
Linköping UniversityPhD student researching sustainable and resource-efficient machine learning, focusing on methodologies to reduce computational, energy, and storage demands, and associated carbon emissions, while maintaining model quality.
University of CopenhagenFully‑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.
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