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targeting performance improvement) is finding interest in the academic community and applied developments in industry. Recent studies have indicated interest in a reinforcement learning (RL)-based controller
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the Agency as well as to industry and other official bodies (ESA delegations, national space agencies, etc.) Technical competencies Knowledge relevant to the field of research Research/publication record
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, such as virtual machines, containers and network configurations; project-based experience (e.g. EU, ESA, Industry); natural curiosity and a passion for new subjects and research areas in space security and
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spacecraft, the teams foster interdisciplinary collaboration, industry engagement and the adoption of the above-mentioned technologies and corresponding methodologies in order to support the build
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of models from requirements or higher-level models, design optimisation, verification of models; implementation: generation of code for onboard real-time and critical systems, and smart manufacturing