15 machine-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at European Space Agency in Netherlands
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) . You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship About 21% of the world’s forest area is currently designated under legal protection
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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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non-deterministic behaviour, data-driven failure modes, human-machine interaction and emergent system effects; proposing and assessing architectural patterns for the safe integration of AI functions
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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
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topics such as quantum-enabled navigation and timing, artificial intelligence-/machin learning-enabled system enhancements, advanced and fully digital payloads, reconfigurable architectures, resilient PNT