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, aligned with a model-based system engineering paradigm; Developing and curating reference asset architectures, threat and control catalogues for instantiating space system risk assessments; Deriving formal
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particular: propose and conduct comparative benchmarking of neuromorphic hardware using both event-based sensor data and conventional sensor data (such as optical or hyperspectral imagers typical of space
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). The emergence of data-driven techniques (broadly grouped under the term “machine learning”) challenges the traditional foundations of controls and represents an alternative paradigm that cannot be ignored
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on the resulting algorithms and pipelines. As an emerging paradigm, differentiable programming builds upon several areas of computer science and applied mathematics, including automatic differentiation, graphical
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expert network. You will be able to interface with experts from other engineering disciplines for applications and potential demonstrations. You will be responsible for: prototype applications, proofs