80 machine-learning-"https:"-"https:"-"https:" positions at European Space Agency in Netherlands
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. Knowledge of machine learning and deep learning for image and time series analysis; experience with cloud or high performance computing environments is an asset. Ability to communicate results clearly in
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of information on all the minerals found on the Moon, Mars and in meteorites, and the Machine Learning (ML) software that combines deep learning multi-class and multi-label classification algorithms
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theoretical challenges motivated by astrodynamics, optimisation, control, scientific machine learning, mission design and autonomous systems, translating these into new research directions in deep learning
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goals will also be explored during the later stages of the selection process. You should also have: solid knowledge of artificial intelligence and machine learning techniques, including their limitations
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of or experience in matters relating to resilience, preparedness and civil-military cooperation in an EU context. Behavioural competencies Education and professional experience A master’s degree in engineering is
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close collaboration with other discipline experts, such as software, microelectronics and applications engineers. * except for RF payloads. ** including artificial intelligence and machine learning
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implementing major industrial procurements. Experience with European Commission projects would be considered a source of added value; Knowledge of computer systems and information/planning/coordination tools
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. what has happened) as well as predictive control (i.e. what is likely to happen), and supporting the implementation of potential solutions. Contribute to exploratory projects involving machine learning
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; Knowledge of computer systems and information/planning/coordination tools (e.g. esa-p, Microsoft Excel and Microsoft Project) is essential. Familiarity with modern dashboard and risk management tools would be
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; Mathematical modelling and multi-physics/multi-domain simulation techniques; Machine learning techniques and their application to safety-critical or mission-critical systems. Diversity, Equity and Inclusiveness