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nanofabrication, cryogenic experiments, experiment control and data acquisition. Strong python programming knowledge is a clear asset. French language proficiency is not necessary. The candidate will work within a
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injection attacks. Potential implementations may involve a domain-specific language or annotations to describe, at the ISA-level, the effects of faults stemming from the microarchitectural level. The model
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language models (LLMs) in generating Instruction Set Simulator (ISS) code by using Reinforcement Learning (RL) to optimize and automate prompt tuning. Additionally, the internship seeks to expand dataset
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of contracts in the context of fault injection attacks. Potential implementations may involve a domain-specific language or annotations to describe, at the ISA-level, the effects of faults stemming from
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instruction sets, knowledge of hardware architecture description languages (HDL) • Formal methods: formal specification language, model-checking environment, SMT solvers, etc. • Experience in terms
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knowledge of machine learning and deep learning is required, along with solid experience with Python language (with focus on Machine Learning and Artificial Intelligence, reinforcement learning). Previous