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of avionics embedded system architecture, including associated technologies, methods and tools (e.g. MBSE, Avionic FDIR), in coordination with the staff responsible for subsystem elements and architects
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learning for dynamical systems, system identification and control systems. This can involve co-tutoring of PhD students or early R&D cooperative studies. contributing to the development of advanced benchmark
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research in the field of advanced onboard data processing architectures for space systems. In particular, one of the two following topics might be considered as the objective of this Research Fellowship: (a
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particular for this position, the following is required: PhD in engineering or physics, preferably with a focus on the development of thermal fluid-structure interaction mathematical models. A thesis topic
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; analyses: support of different data analyses including thermal, mechanical or test results to ease the validation of systems and subsystems. Embedded AI, optimisation of models, improvement of performance