75 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at European Space Agency in Netherlands
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encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship You will contribute to a range of activities of the Technology Coordination and Planning Office, in
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Structures Inflatable and Deployable Structures Launchers / Re-Entry (Hot Structures) / Planetary Landing Vehicles Crew Habitation / EVA Suits You are encouraged to visit the ESA website: http://www.esa.int
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are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship You can choose between the following topics: 1) Topic 1: Machine Learning for recognition of planetary materials
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management (Ability to capture, organise, and share knowledge, including lessons learned and best practices, to enable learning, ensure consistency, and improve quality across teams and projects) Behavioural
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communication skills; the ability to drive your team’s performance, developing your people by encouraging learning, delegating responsibility and giving regular and constructive feedback; strong problem-solving
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of the general ESA Product Assurance and Safety policy and contributions to corporate tasks (such as reviews, standardisation, alerts, lessons learned, etc.), you will report to the Head of the Quality Department
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for space applications; Leading the centre of excellence for advanced simulation methods including scientific data processing and databases, software applications including human-computer interfaces, support
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environment; Strong leadership capabilities, with proven relationship management and communication skills; The ability to drive your team’s performance, developing your people by encouraging learning
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value. Knowledge of computer systems and information/planning/coordination tools (such as esa-p, Microsoft Excel and Microsoft Project) is essential. Familiarity with modern dashboard and risk management
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orientation, ethnicity, religious beliefs, age, disability or other characteristics. Important Information and Disclaimer Applicants must be eligible to acquire the security clearance by their national security