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in computational musicology, digital humanities, computer science, artificial intelligence, or mathematics/statistics, with a PhD in one of these fields or a closely related field, and interested in
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at the interface of probability theory and artificial intelligence, whose goal is to rethink and structure the way mathematical research is produced in the era of AI. Key Responsibilities: Designing and implementing
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positions for doctoral researchers in the field of reliable artificial intelligence. The background applicants come from can be very diverse. To earn the relAI certificate, PhDs need to earn credits in
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support for process development from laboratory to pilot to demonstration scale Working with a wide range of simulation tools such as CFD, numerial optimisation and artificial intelligence Topic-independent
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Science, Physics, Artificial Intelligence or similar field/ related discipline obtained no more than five years prior to the application date*; 2) proven experience in designing methods for the exploration and
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for Artificial Intelligence. The position aims to strengthen methodological and algorithmic work on one or more of the following axes: Optimization and learning on very large models and datasets, improving
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· Computer Science (System, Computing Theory, Algorithms) · Rank: Associate professor or Assistant professor 2. Energy AI · Artificial Intelligence, Data Science · Rank: Associate professor or Assistant professor 3
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solutions for pressing societal challenges (e.g. communication, artificial intelligence, climate protection, health, etc.) through modern electronic & photonic technologies. The work covers the entire
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artificial intelligence/machine learning may be applied are encouraged to apply. If you are interested in research in brain-machine interfaces, and are unsure about whether you have the right background
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, statistics and probabilities • data science, machine learning, artificial intelligence • optimisation • power system management, integration of renewables • energy forecasting Expected level in french : bon