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to contribute to the design and collection of future YSL waves and disseminate findings to relevant audiences. The successful candidate will join the YSL research team (two PhD students, one postdoctoral
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the predefined areas Disseminate results in top scientific venues Providing guidance to PhD and MSc students Participating in proposal writing Participating in the teaching activities Present results
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Qualification: PhD in Computer Science Experience in dependable systems, real-time and embedded systems and/or operating systems and the threats and attacks they are exposed to is highly valuable
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the predefined areas Disseminate results in top scientific venues Providing guidance to PhD and MSc students Participating in proposal writing Participating in the teaching activities Present results
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of two referees, with an indication of their links to the candidate (e.g., supervisor of the PhD thesis) Early application is highly encouraged, as the applications will be processed upon reception
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Applications should include: Curriculum Vitae List of publications and manuscripts in preparation (if applicable) Copy of PhD degree certificate, if available Cover letter including: Self-assessment
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and will employ one PostDoc and one PhD student.
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papers (or of the PhD thesis) Scans of diplomas Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration, candidates should apply by 31
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conferences Contribute to different research projects, either coordinating technical contribution and/or preparing project deliverables Eventually, help in the supervision of PhD students For further
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, managing, and scientifically contributing to projects in Reinforcement Learning on Space Robotics. The candidate will carry a leading role in this area and support PhD candidates in their thesis research