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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for this position, the following is required: PhD in a relevant field such as computer science, quantum physics, electronic engineering, data science, AI, machine learning, Earth system science, climate etc. with a
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for this position, the following is required: PhD in a relevant field such as data science, AI, computer science, machine learning, Earth system science, climate etc. with a thesis subject relevant to the description
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above. Education in related fields such as data science, AI, computer science, machine learning, space engineering, Earth system science, climate, etc. would be an asset. Additional requirements In
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such as data science, AI, computer science, machine learning, Earth system science, climate etc., with a thesis subject relevant to the description of the tasks outlined above. Additional requirements In
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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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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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Location ESAC, Villanueva de la Cañada, Spain or ESTEC, Noordwijk, Netherlands or STScI, Baltimore, USA. The opportunity ESA's postdoctoral Research Fellowship programme offers early-career
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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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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