77 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at European Space Agency
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to visit the ESA website: http://www.esa.int Field(s) of activity for the internship Topic of the internship: Space Debris Mitigation Space debris is defined as “All non-functional, human-made objects ... in
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are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship As an ESA Graduate Trainee, you will support the HR Department's teams dealing with
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interested are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship Topic of the internship: Propulsion Test Bench Your internship is composed of three parts
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support to the Head of Division on this topic. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship Your tasks and responsibilities will be
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Lab). You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship As a member of the GNC, AOCS and Pointing Division in the Electrical Department
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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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features of military and dual-use space systems Behavioural competencies Education A master’s degree in engineering or a scientific discipline is required for this post. Additional requirements You should
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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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intelligence (AI) and machine learning(ML). Duties This position combines knowledge of the Earth observation (EO) domain (EO instruments, EO data, EO algorithms, modelling, etc.) and AI/ML, as well as data