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. Your home base will be the Jakobi Lab (https://cryoem.tudelft.nl) at TU Delft | Kavli Institute of Nanoscience. We are a multidisciplinary, international and diverse team of scientists with backgrounds
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), via the ACT website (https://www.esa.int/gsp/ACT/) . You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship You will take scientific
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-engineering activities, as well as the team’s other main research lines (for example AI for guidance, navigation and control, unconventional computing and mission analysis), via the ACT website (https
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our partners from ETH Zurich and TU Munich. More information about our research group can be found at: https://autonomousrobots.nl/ The contract is initially for one year, with the possibility of a
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machine learning and/or operational research. You can understand literature in both disciplines. Excellent oral and written communication skills in English proven by a minimum score of 100 in TOEFL or IELTS
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information about our research group can be found at: https://autonomousrobots.nl/ Job requirements We are looking for a candidate with: A PhD degree in Robotics, Control, Aerospace Engineering, Mechanical
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, machine learning, and network analytics. There are currently two vacancies open for this position. In your role as fulltime lecturer, you become part of a strong community of 90 researchers and lecturers
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and responsible space exploration, with planetary protection at the core of its efforts. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research
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engineering standards. You will use existing laboratory facilities, and potentially the ESA Space High-Performance Computer, to demonstrate appropriate technologies, and will actively search for promising
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methodologies, such as additive manufacturing, for projects within the centre and for space exploration; developing new ideas around medical technologies, for example, using machine learning techniques to support