Climate AI Nordics

Climate AI Nordics

Nordic network for collaborations around tackling climate change using AI and machine learning.

Open position: Assistant professor in AI for Sustainable transformation

Lund University is recruiting a new Assistant Professor in Artificial Intelligence for Sustainable Transformation, based at the International Institute for Industrial Environmental Economics (IIIEE). This is a unique opportunity to help shape the future of AI-driven sustainability research in one of the world’s top universities. The successful candidate will join a vibrant, interdisciplinary team working at the interface of digitalisation and climate action. The position offers strong support for external funding, collaboration with societal partners, and real-world impact through research and education. Candidates should hold a PhD in a relevant field and demonstrate international experience in both AI and sustainability research. Applicants are expected to submit a 3-page innovative research proposal aligned with the theme of AI for sustainable transformation. The role includes teaching, supervision, and contributing to interdisciplinary master’s programmes and doctoral education. Lund University actively encourages applicants from diverse backgrounds and offers relocation, language, and integration support for international staff. This position is part of a university-wide initiative to identify top candidates for nomination to upcoming Swedish Research Council funding calls. Applications are due by 11 August 2025—find full details at www.iiiee.lu.se.

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Climate AI Nordics Newsletter, June 2025

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Welcome to the Climate AI Nordics Newsletter, June 2025! This month’s newsletter highlights the first nine months of Climate AI Nordics, including events, publications, and new collaborations across the Nordic region. It also features job openings, upcoming events, and a spotlight on one of our members working with AI for aquatic biodiversity mapping.

Climate AI Nordics first 9 months

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From pioneering AI models for weather and biodiversity to our first Nordic Workshop on AI for Climate Change, the Climate AI Nordics community has grown and thrived over the past 9 months. Here's a look back at our webinars, newsletters, and key milestones.

Featured paper: Accurate modeling of the potential energy surface of atmospheric molecular clusters boosted by neural networks

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This paper explores the potential for using neural networks to model atmospheric particle formation. The neural network-based model, tasked here to predict cluster binding energies, achieved the target chemical accuracy of less than 1 kcal/mol, although kernel ridge regression had a slightly lower error. Training was over an order of magnitude faster with the neural network compared to kernel ridge regression.

Featured member, June 2025: Edmond Sacre

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Edmond is a researcher at SLU Aqua (Swedish University of Agricultural Sciences) within the Unit for Protected Areas and Marine Planning. He is particularly interested in applied research questions related to mapping aquatic biodiversity and using this information to inform conservation decisions. More specifically, he is interested in how we might be able to utilize the power of machine learning and AI to map species and ecosystems, especially where data are limited.