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their 4th or 5th year of studies (M1, M2 or gap year) - Computer vision skills - Machine learning skills (deep learning, perception models, generative AI…) - Python proficiency in a deep learning framework
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validated. In parallel, CEA-List has developed µArchiFI [3-4], a formal framework enabling pre-silicon analysis of fault injection effects at RTL level, from hardware implementation details up to software
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is not. To do so, the candidate will come on board the Manta project [3], which is the framework of the nextgen finite element software for computational mechanics at CEA, and the “Laboratoire d’Etudes
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the problem of dynamic distribution shifts. Specifically, in this internship position, we propose building on the work of Timans et al., who proposed a framework that leverages game theory and sequential