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the Department of Engineering Your profile Education and Scientific Background PhD in Mathematics, Engineering, or a closely related discipline with a focus on modelling, optimization, or data analysis Detailed
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disturbances, embedded constraints, and AI decision integrity in critical systems. This PhD aims to develop a unified methodology for evaluating and improving the robustness of embedded AI modules against
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an assistant that offers real-time feedback and recommendations without disrupting agile development? Objectives The PhD will develop the ReqSecDes framework by combining AI-driven extraction and formalization
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shortage of specialized expertise, the lack of systematic methods to refine abstract security goals such as confidentiality, integrity, or availability into actionable design decisions, and the absence
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/candidatOffres/show/id_offre/133503 Requirements Specific Requirements Master’s students Required skills: machine learning, software engineering, cybersecurity, formal methods Additional Information Work Location
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the Department of Engineering Your profile Education and Scientific Background PhD in Mathematics, Engineering, or a closely related discipline with a focus on modelling, optimization, or data analysis Detailed
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contact Dr. Your profile PhD in Data Science, Environmental Science, or related disciplines Proven expertise in environmental science and data-driven research as PostDoc Experience in acquiring third-party
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of the HéLiCéO consortium (PhD students, postdocs, and research engineers). MAIN OBJECTIVE To compile a corpus of oral literature narratives from Melanesia and develop a database to enable comparison with other