Climate Informatics Postdocs in Paris!

[cmo...@gmail.com]

We at INRIA Paris are hiring postdocs in the ARCHES team (AI Research for Climate Change and Environmental Sustainability). INRIA is the French national lab for Computer Science and Applied Math. The positions are located at the INRIA research center in Paris (13th arrondissement). Start dates are flexible.

Please read the ad and apply at this link: https://recrutement.inria.fr/public/classic/en/offres/2026-09783

[Note: these are actual postdoc positions despite the word "Visit" in the job title.]

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The INRIA team, ARCHES: AI Research for Climate Change and Environmental Sustainability is currently accepting applications for a postdoctoral researcher. This position is located at INRIA Paris.

About ARCHES

ARCHES: AI Research for Climate Change and Environmental Sustainability is focused on using AI to address climate change, and to enable environmentally sustainable solutions. Understanding and addressing climate change is an urgent challenge. Meanwhile, the study of climate change is an extremely data-rich field, especially considering not only the rapidly growing amount of satellite retrievals but also the massive amounts of simulation output from physics-driven climate models, providing a lens into the distant past and distant future. The founding members of ARCHES have pursued a research vision that machine learning can shed light on and help in confronting climate change. Their research helped spawn the interdisciplinary field of Climate Informatics which was recognized as a key research priority in The World Economic Forum's report on AI for the Earth, in 2018.

The position 

We are open to postdoctoral candidates with a strong grounding in machine learning research, and experience (or at least a significant interest) in applications to climate change and environmental sustainability. Candidates are encouraged to submit a research statement with proposed work on topics of mutual interest with members of ARCHES. In particular, ARCHES research is focused along three axes:

1. AI for Climate Change Adaptation – Forecasting and informing near-term decisions (e.g., weather prediction with a focus on extreme events)
2. AI for Climate Change Mitigation – Forecasting and informing mid-term decisions (e.g., accelerating the green energy transition)
3. AI for Understanding Climate Change Impacts – Projecting long-term impacts (e.g., sea-level rise, carbon cycle)
4. Advances in core AI - New research in machine learning in computer vision. ARCHES members have demonstrated that climate and environmental applications open new questions for the design and analysis of machine learning algorithms. We have also found that applied research can yield unorthodox twists, even on standard machine learning techniques, which in turn spark interest in the machine learning research community.