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carries out technology research and development on flight vehicles, flight physics, aerodynamics, thermodynamics and fluidic engineering. The Section is also the focal point for the architecture design
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, spacecraft system and mission design, and analysis, as well as a valuable data source for studies and other research domains. This research aims to develop a lightweight software system, written in Python and
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Systems Engineering & Innovation Department, Directorate of Operations at the European Space Operations Centre (ESOC). The Section is responsible for driving cyber security research and development applied
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involved in the innovation and application of methodologies and technologies in the following fields: model-based engineering; modelling and simulation; visualisation by means of augmented reality, virtual
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curation implementation plan to prepare Europe for receiving, curating and handling analogue, simulant and returned samples from space. You will serve as advisor on sample curation within the Agency
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, assembly and manufacturing in addition to the design and implementation of novel machine learning GNC and FDIR concepts, possibly implemented and breadboarded in the Section’s laboratory facilities (as a
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) Assessing the performance and fault tolerance of neuromorphic hardware; (b) Designing and developing one or more machine learning (ML) and artificial intelligence (AI) algorithms to support and enhance
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systems, design concepts, lean development approaches, for example Agile, and working methods. Through its daily work, the Team acts as a pathfinder for the low-cost, green launch systems of the future
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mechanics, celestial mechanics, mission design, and guidance and control systems; further develop open-source software developed by the ACT, for example, pygmo (optimisation), pykep (astrodynamics), dCGP
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Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted