Partnership between Climate AI Nordics and CLIMES
We are excited to share our partnership with CLIMES, the Swedish Centre for Impacts of Climate Extremes 🌍✨!
Read more on our /partners/!
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Climate AI Nordics Newsletter, August 2025
Published:
The Climate AI Nordics community continues to grow, now connecting over 176 members working with AI for climate mitigation, adaptation, and monitoring. In this issue, we highlight a new survey on Bayesian optimisation for climate challenges, feature member Miki Verma from Rewiring America, and share updates from recent and upcoming events across the region. You’ll also find news on job openings, collaborations, and opportunities to get involved in shaping the Nordic AI-climate community.
Doctoral student in Water Resources Engineering with a focus on GeoAI and Remote Sensing in Hydrology
Published:
Lund University is hiring a doctoral student in water resources engineering with a focus on GeoAI and remote sensing in hydrology
Short course on artificial intelligence for environmental data
Event date:
This two-day short course introduces early-career researchers and professionals to how AI can be applied for processing and interpreting environmental data, with a focus on climate-related analysis and earth observation. Participants will learn core AI methods—including Large Language Models (LLMs)—and gain hands-on experience with practical tools through guided exercises.
Featured paper: Bayesian optimisation against climate change: applications and benchmarks
Published:
The featured paper this month shows how Bayesian optimisation can support climate change mitigation by tackling optimisation problems in renewable energy and environmental monitoring. This includes a review on applications across four main use cases—material discovery, wind farm layouts, optimal renewable control, and environmental monitoring, and the proposal of benchmark problems to guide future research. The work is connected to ongoing projects at Climate AI Nordics, such as efforts to design safer solar panel materials and improve air pollution monitoring.