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ELLIS is a network of excellence connecting top AI researchers across European borders to strengthen the leadership of AI made in Europe.
PhD fellowship in Machine Learning for Environmental Sciences
Apply by April 6th, 2026
Career Stage: PhD
Copenhagen
We are looking for a creative student who is interested in contributing to the mission of the Global Wetland Center, by developing novel machine learning methods to model greenhouse gas fluxes from both remotely sensed multimodal data and ground-level measurements. To overcome challenges of limited reference data, the student will work on hybrid modelling combining process-based models and deep learning, as well as self-supervised learning approaches.
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