Exoplanet Atmosphere Characterization


The characterization of exoplanet atmospheres is crucial for understanding their compositions, weather patterns, and potential habitability. This project aims to develop machine learning models to analyze spectral data from exoplanets, identifying chemical signatures and atmospheric properties. The project will leverage data from telescopes and space missions, along with simulations of exoplanetary atmospheres under various conditions, to train and validate the models.


Total project length: 175/350 hours.

Task Ideas

Expected Results



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Please DO NOT contact mentors directly by email. Instead, please email ml4-sci@cern.ch with Project Title and include your CV. The mentors will then get in touch with you.

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Participating Organizations