Climate AI Nordics Newsletter
Welcome to the September edition of the Climate AI Nordics Newsletter!
Enjoy our community highlights, updates from our partners, events, and new job opportunities!
We connect the Nordic region’s researchers and practitioners at the intersection of AI and climate action. Whether your focus is on emission mitigation, ecosystem resilience, or biodiversity, this community is built to help your work thrive.
If you know colleagues in academia, public agencies, or industry who share these interests, invite them to join us at climateainordics.com/join.
Community spotlight
News
No current news.
Coming events
2nd Workshop on AI for Climate and Conservation (AICC-2) at ECCV 2026
Event date: 2026-09-09.
Climate AI Nordics is glad to announce that the 2nd Workshop on AI for Climate and Conservation (AICC-) has been accepted at ECCV 2026! The AICC-2 workshop will take place in Malmö, Sweden, Sep 9th.
Read more!
AI for Planetary Health – ECCV 2026 Social
Event date: 2026-09-10.
Join us for an informal evening social bringing together researchers, practitioners, students, and innovators working at the intersection of computer vision, AI, climate, biodiversity, conservation, and oceans. Whether you’re presenting a paper during ECCV, looking for collaborators, exploring new research directions, or simply interested in meeting others working on AI for planetary health, we’d love to see you there.
Read more!
HydroImaging: Mining Imaging Data for Hydrological and Environmental Modelling
Event date: 2026-09-13.
Submit your research to HydroImaging, a half-day IEEE ICIP 2026 workshop in Tampere, Finland (September 13–17, 2026). This workshop bridges computer vision, remote sensing, and environmental science to address climate change and the water cycle. Contributions on data-centric ML, multi-modal fusion, and disaster mapping are welcome.
Read more!
Job openings
Researcher, Remote Sensing and Geospatial Data
The Finnish Environment Institute (Syke) is recruiting a fixed-term Researcher for applying artificial intelligence and machine learning in environmental monitoring, with a focus on processing remote sensing and geospatial data to support habitat and biodiversity initiatives.
Deadline: September 7th, 2026
Postdoc in Computer Vision and AI for Marine Image Analysis
DTU Compute is offering a Postdoc position to develop AI-based computer vision methods for analyzing underwater video sequences, specifically to quantify marine species abundance in Denmark’s maritime habitats as part of the HAV-INNO project.
Deadline: September 21st, 2026
PhD Research Fellow in Climate Data Analysis and Machine Learning Emulation of Hydrological Models
The University of Bergen is offering a PhD position to analyze extreme precipitation events using climate downscaling ensembles and develop a machine learning-based hydrological model to emulate hydrological responses for the DYNAMIC-AI project on climate extremes.
Deadline: September 30th, 2026
Postdoc: Weakly supervised ML-based Earth observation for climate extreme impact quantification
RISE is recruiting a postdoc for the Climes center to develop an advanced Earth observation (EO) machine learning (ML) framework for quantifying the impacts of climate extremes.
Deadline: 2026-09-15
Machine learning engineer for computer vision and controlled pesticide-use.
Dimensions Agri Technologies (DAT) are recruiting a machine learning engineer. The selected candidate will help reduce and optimize the use of pesticides by developing targeted schemes through machine learning model assisted computer vision.
Deadline: Rolling
Your news in the newsletter!
Make sure to share your work with us, by sending us an email (contact@climateainordics.com), posting in our Slack or some other channel, and we’ll add it to the news feed! Take the chance of showcasing your work or your events to the community!
Also be sure to follow us on LinkedIn and BlueSky. Climate AI Nordics will have the most impact if you repost and like our stories!
Climate AI Nordics is a network of researchers working to harness AI in tackling the climate crisis through both mitigation and adaptation.
We promote the development of AI-based tools and optimization methods that support sustainable decision-making—helping reduce emissions, restore ecosystems, and build climate resilience.