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associated with the spin-in of applied artificial intelligence to the space system domain; Designing and conducting representative capture-the-flag exercises, and in-orbit cyber exercise and technology
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applications* in close collaboration with other discipline experts (software, microelectronics and applications engineers). * except for RF payloads. ** including artificial intelligence and machine learning
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systems for European space vehicles, and related processes and facilities. You will also maintain close connections with the world-leading research communities involved in artificial intelligence/machine
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records from satellite data, and/or improved methods of uncertainty characterisation, including the use of artificial intelligence and machine learning to improve or analyse satellite climate data records
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discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in artificial intelligence
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navigation simulations for early mission studies; integration with study teams for onboard autonomy simulations (e.g. intelligent failure and contingency handlers); application to close proximity operations