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premise, primarily within the Section of Space Systems Engineering (SSE). SSE is dedicated to the broad range of end-to-end spacecraft engineering, with focuses on distributed and miniaturised space systems
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AI-based decision-making, learning approaches, and predictive capabilities to enable spacecraft to react proactively to events while reducing reliance on ground intervention. A key focus will be
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guidance and navigation, data-driven modelling of spacecraft and environmental dynamics, mission planning and operations, and on-board learning in resource-constrained environments. You are strongly
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following ideas: High-pulse-rate pulsed inductive thrusters Non-conventional Hall effect thruster configurations RF plasmas for material testing of vLEO spacecraft surfaces Candidates will have the
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for extraterrestrial deployment, bio-inspired robotics experiments on the International Space Station, and novel neuromorphic and spiking-neural-network concepts for resource-constrained autonomous spacecraft