Climate AI Nordics Newsletter
Welcome to the November edition of the Climate AI Nordics Newsletter!
This month, we are celebrating a major milestone that highlights the true power of this community. Our partner Klimatkollen has secured 3 million SEK from the Postcode Lottery Foundation for a project on AI-driven climate plan analysis—a collaboration with NORCE that was formed explicitly through connections made right here in this network.
In addition to this success story, we are continuing our one-year anniversary from last month with the launch of our official YouTube channel, giving you open access to our full archive of workshops and webinars.
As our network grows to 199 members across the Nordics and 72 international supporters, we look forward to seeing many of you in Copenhagen next month for EurIPS 2025. Until then, explore our latest updates, job opportunities, and featured research below.
If you know colleagues in academia, public agencies, or industry who should be part of this conversation, please invite them to join us at climateainordics.com/join.
News
No current news.
Coming events
Workshop on AI for Climate and Conservation (AICC) at EurIPS 2025
Event date: 2025-12-06.
Climate AI Nordics is excited to announce that the Workshop on AI for Climate and Conservation (AICC) has been accepted for EurIPS 2025! The AICC workshop will take place in Copenhagen, Denmark, Dec 6th! (Co-located with EurIPS).
Read more!
International Conference: Climate Impacts in a Changing World 2026
Event date: 2026-03-09 to 2026-03-11.
The Swedish Centre for Impacts of Climate Extremes (CLIMES) invites abstract submissions for the international conference Climate Impacts in a Changing World 2026, held in Uppsala on March 9–11, 2026. The event fosters interdisciplinary dialogue on the wide-ranging impacts of climate extremes on human and natural systems.
Read more!
Workshop on Advances in Representation Learning for Earth Observation (REO) at EurIPS 2025
Event date: 2025-12-06.
The REO workshop will take place in Copenhagen, Denmark, Dec 6th. (Co-located with EurIPS)!
Read more!
TESSERA: precomputed FAIR global pixel embeddings for earth representation and analysis
Event date: 2025-12-11.
Webinar with Zhengpeng (Frank) Feng, Cambridge. Petabytes of satellite Earth Observation (EO) data are freely available and can address critical global challenges. However, EO data quality is poor due to clouds and variable lighting conditions. To address this, practitioners typically use compositing, but this critically removes the temporal phenological signal. Moreover, supervised machine learning to map composited pixels to task-specific classes requires accurately labelled data that are rarely available. We present TESSERA, a pixel-oriented foundation model for EO time series that creates 128-dimensional latent embeddings requiring only a few labels for task-specific training to achieve state-of-the-art performance across diverse complex tasks. TESSERA uses two encoders that combine optical data with synthetic aperture radar backscatter coefficients at 10m resolution, creating embeddings fused with a multilayer perceptron to generate annual global embedding maps. TESSERA closely matches or outperforms state-of-the-art task-specific models and other foundation models across five diverse downstream tasks. It is unprecedented in ease of use, scale, and accuracy: no other open foundation model provides precomputed outputs with global, annual coverage at 10m resolution.
Read more!
SBDI Days 2026: Artificial Intelligence in Ecology and Biodiversity Research
Event date: 2026-02-10.
A conference hosted by SBDI in partnership with SciLifeLab’s Planetary Biology Strategic Area, exploring the transformative partnership between AI and biodiversity research.
Read more!
Job openings
PhD position: Cutting-edge machine learning for climate modelling
DTU Compute is hiring a PhD student for the IcyAlert project, focusing on machine learning for climate modelling.
Deadline: 2025-12-08
Doctoral student in environmental science
Lund University is looking for a doctoral student to combine remote sensing and AI to monitor grassland management within the BIOSPACE project.
Deadline: 2025-12-10
PhD position in AI for biodiversity monitoring
Aarhus University is offering a PhD position on harnessing AI for biodiversity monitoring with camera trap networks.
Deadline: 2026-01-15
Researcher in coastal environmental hazards
Permanent position at NERSC (Bergen) focusing on marine ecosystem assessment, optical remote sensing, and machine learning.
Deadline: 2025-12-07
Researcher in climate prediction
Permanent position at NERSC (Bergen) to develop the Norwegian Climate Prediction Model using data assimilation and machine learning.
Deadline: 2025-12-07
PhD position in deep learning for glacier monitoring
A fully-funded 4-year PhD position in Germany focused on developing deep learning methods for glacier surface and bedrock detection.
Deadline: 2025-12-07
Junior researcher in machine learning
RISE is hiring a junior researcher in machine learning to develop AI-based tools for creating smarter, more sustainable cities and to help build a greener future.
Deadline: 2025-11-30
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.