Digital Twin Forest ML Summit

Postdoctoral Researcher – Natural Resources Institute Finland (Luke)

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 – Linköping University

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 – University of Copenhagen

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 ch...