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the heart of the Grenoble metropolitan area, easily accessible via the CEA's soft mobility program. A unique research environment dedicated to topics with high societal impact. Experience in a cutting-edge
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(BAC+5) in Computer Science, Applied Mathematics, or related field. Qualification: Strong knowledge of deep learning (CNNs, VIT) and PyTorch. Good programming skills in Python (C++ is a plus). Interest
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Proficiency in numerical methods and programming Prior knowledges to Rydberg‑atom experiments, RF field sensing, or related quantum‑sensor technologies will be advantageous We offer: An internship in the heart
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school or a master student (Bac+5) in a field related to machine learning/AI, who wishes to conduct research and development in an emerging, yet impactful field, in a collaborative environment. The intern
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efficiency exceeding 15%, based on GaN technology. Methods / Means Analytical, Matlab, ADS, Python Applicant Profile You are working toward a master of research or engineering degree in electrical engineering