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management related tasks will also be part of the candidate's responsibilities. Requirements Candidates are required to have a PhD degree in computer science, mathematics, electrical and electronic engineering
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relevant 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 cyber security, computer
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learning with a background in robust and embedded control, aerospace systems and physical modelling, as well as in artificial intelligence-related concepts, computer vision and numerical optimisation
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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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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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investigate how machine-learning based algorithms can be used to personalize the user experience. The goal of this personalized user experience is to enable each individual user to discover their own
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application but must be completed and defended no later than November 2025 (position start date is January 2026); PhD in political science, international relations, security studies, computer science, data
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of concept and related tests in the laboratory facilities and possibly the ESA Space High Performance Computer facility to assess technologies developed; providing AI expertise for the development of AI