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Avionics and EEE Division (TEC-ED) in the Electrical Department (TEC-E). Their main area of responsibility is to provide direct and indirect engineering support to ESA projects and European industry in the
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traditional approaches, such as FMEA and FTA, to address non-deterministic behaviour, data-driven failure modes, human-machine interaction and emergent system effects; proposing and assessing
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innovation hub” connecting EO with a growing ecosystem of disruptive and transformative innovations such as AI, machine learning, quantum computing, edge computing, metamaterials and photonics. Many of the
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the University of Delft, and many stakeholders in secondary education, autism advocacy, and other important partners. About the organisation The faculty of Electrical Engineering, Mathematics and
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researchers across the ACT to identify emerging theoretical challenges motivated by astrodynamics, optimisation, control, scientific machine learning, mission design and autonomous systems, translating
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five years of receiving their PhD. In particular for this position, the following is required: PhD in data or computer science, machine learning, AI, statistics, mathematics, biophysics
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close to completion of a PhD in a relevant field such as data science, AI, computer science, remote sensing, machine learning, electronics, embedded systems, aerospace engineering, Earth system