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Role details
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Requirements
Applicants should have an excellent research track record in machine learning and related areas, with a proposed programme aligned with at least one of the PEPR IA themes: frugal AI, embedded AI, trustworthy AI, distributed AI, or the mathematical foundations of AI. Applications are open to candidates from academic or industrial backgrounds, with a doctorate obtained in France or abroad. Candidates are expected to be based in France during the chair.
Each chair provides a four-year funding package of up to €850,000, which can support the recruitment of PhD students, postdoctoral researchers and engineers. Teaching may be possible depending on the host institution. Candidates are also expected to contribute to sustainable research activity in France, mentor researchers and students, manage scientific projects, and engage with economic stakeholders.
Candidates who obtained their doctorate in France and wish to return must demonstrate international research experience. Some host positions may be located in a restricted scientific and technical area (ZRR) and may require prior authorisation., PhD or equivalent, Background: Open to candidates from both academic and industrial sectors. Qualification: Applicants must hold a PhD or an equivalent doctoral degree. Host laboratory: Applicants must have the support of a French host research team and laboratory, which must agree to host the proposed research programme. Nationality: No nationality requirement. The position may be situated in a restricted area (ZRR), as defined in Decree No. 2011-1425 relating to the protection of national scientific and technical potential (PPST). Access is subject to the required authorisation. An unfavourable decision would prevent the appointment. Commitment: Candidates are expected to be based in France for the duration of the chair. Selection process
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