Serge Belognie & Toke Thomas Høye are advising the PhD project “Harnessing the power of AI for biodiversity monitoring with camera trap networks - From foundation model to edge processing.”
This position is located at Aarhus University.
Deadline: January 15, 2026.
Published:
To celebrate our one-year anniversary, Climate AI Nordics is launching a new YouTube channel dedicated to sharing knowledge within the AI and climate community. The channel features a complete set of recordings from the inaugural Nordic Workshop on AI for Climate Change held in Gothenburg this past May. In addition to workshop content, viewers can access an extensive library of past webinars covering topics such as biodiversity monitoring, weather forecasting, and Earth system modelling. We invite researchers and practitioners to explore these valuable resources and join us as we look forward to another year of collaboration and innovation.
Published:
This study presents an AI-driven inversion framework that uses a deep-learning emulator of a radiative transfer model to estimate snow albedo and quantify the impact of light-absorbing particles (LAPs) such as dust, black carbon, and algae. Trained on 5.8 million simulations, the method accelerates computations by 30× while maintaining accuracy, enabling large-scale mapping from drone or satellite data. Applied to field observations, it revealed strong but variable LAP effects on albedo and complex interactions between multiple impurities, offering a powerful tool for improving melt forecasts and climate projections.
Published:
Joakim Bruslund Haurum, an Assistant Professor at the University of Southern Denmark’s new Vejle Campus and the Pioneer Centre for AI, is the featured member for November 2025. He is a Computer Vision researcher specializing in expert tasks, balancing pure research on algorithms with applied work in infrastructure inspection and biodiversity monitoring. Beyond his studies on hierarchical data, Joakim engages with the scientific community (and with Climate AI Nordics) by co-organizing events like the AI for Climate and Conservation workshop at EurIPS. He is currently seeking collaborations with others interested in solving challenges related to messy data in expert domains.
Event date:
A conference hosted by SBDI in partnership with SciLifeLab’s Planetary Biology Strategic Area, exploring the transformative partnership between AI and biodiversity research.
