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intelligence and industrial policy. Scouting the best suited production practices, methodologies, hardware/software implementation, etc. Coordinating with ESA programmes, directorates and external initiatives
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software systems engineering, the Section works with young professionals, researchers and students at universities. Through its diverse setup, the Section handles tasks ranging from technical infrastructure
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unique opportunity to work at the intersection of software engineering and satellite navigation, contributing to the next generation of SBAS technologies. You will collaborate with experts in
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integrate modern AI methods into control and decision-making, enabling humanoid robots to adapt to unpredictable environments and support astronauts more effectively. The project contributes to ESA’s efforts
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; development of novel methods, new technology implementations, (e.g. ML models) and/or high-level products; contribution to the development and curation of open data sets and tools enabling the community
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hyperspectral imaging mission for the environment. You will design methods that combine large “foundation” models with ultra-light detection running on the satellite to deliver trustworthy, low-latency
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of avionics embedded system architecture, including associated technologies, methods and tools (e.g. MBSE, Avionic FDIR), in coordination with the staff responsible for subsystem elements and architects
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mission of the Cosmic Vision programme. Its primary objective is to observe at least 1,000 known exoplanets using the transit method, studying and characterising their chemical composition and thermal
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the Lunar landscape. The XR LAB is mainly composed of developers and engineers that focus on scientific and visual realism, using the latest technologies in hardware and software. Candidates interested
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the frame of above-mentioned activities, you may have to use the following software packages: MATLAB/Simulink®, CAD design tools (such as FreeCAD or SolidWorks) or other more specialised software tools