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of ESA's climate activities. You will have the opportunity to work in cooperation with relevant scientific projects within ESA's CCI programme and other teams at ESA. In addition, you will be encouraged
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assessment. You will be provided with access to various engineering and computation toolsets along with the high-performance computer. A good background in numerical methods and computational platforms is
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acceleration and neuromorphic computing, while also aligning with the hosting team’s strategic priorities in onboard autonomy, radiation robustness, and efficient edge processing. Scientifically, you will in
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alignment with the strategic directions of the STS PNRR programme. Scientifically, you will in particular: propose and conduct rigorous research in the field of model-based digital system engineering and
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working methods. It interacts externally almost exclusively with academia and operates as a truly interdisciplinary team bound to high scientific standards. Through its research, the team acts as a
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close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. In particular
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information General interest in space and space research Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in a related technical or scientific
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expert judgement and insight into trends and developments, and on the Team’s requirements to ensure alignment with the strategic directions of the STS PNRR Programme. Scientifically, you will in particular
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, data science technologies and development methods, identification of future applications of AI, and monitoring evolutions of advanced technologies (such as quantum computing) to explore their suitability
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scientific trends and results, as input to the strategic planning of the Agency. The team entered the field of computer science and applied mathematics in 2004, performing research related to discrete