12 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at European Space Agency
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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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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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(UQ) for machine learning and its validation. Your areas of research will be chosen based on both your own expert judgement and insight into trends and developments and on team requirements to ensure
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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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for this position, the following is required: PhD in systems engineering, computer science or informatics, and the subject of the thesis should be relevant to the task description provided above (e.g. digital twin
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differentiation of generic and complex computer programs (including control flows, data structures, and possibly memory) allows for the exploitation of any-order differentials to obtain transformative effects
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daily work, it acts as a pathfinder for future low-cost and green launch systems. The Directorate of Space Transportation is a Programme Directorate within the ESA matrix structure, and its activities
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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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Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted
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Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in computer science, mathematics, or informatics, with the subject of your thesis being relevant t