147 parallel-computing-numerical-methods positions at European Space Agency in Netherlands
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computational and laboratory facilities. In particular, the Division is in charge of: performing design, development and verification of spacecraft structures, mechanisms, materials and manufacturing processes by
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data reduction and calibration techniques. These techniques must correct for numerous factors, including detector artefacts (e.g., dark current), instrumental effects (e.g., throughput variations
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Exploration Programmes (D/HRE) is a programme directorate within the ESA matrix structure. Using a partnership between humans and robots, the Directorate is dedicated to exploring destinations in space where
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the Mechanical Department laboratories and computing infrastructure, including the thermal computing facility, in conjunction with the TEC infrastructure function; Analysis methods and tools for the thermal
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of space stakeholders. The Future Engineering Division (in support of the program directorates) is responsible for developing and providing the right Engineering Tools, Methods and Standards: Leading
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computer and Data Handling (PL/PF) for space systems, including their procurement and end-to-end validation (in close collaboration with TEC-EF); Engineering of on-board software in all phases including pre
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computer and Data Handling (PL/PF) for space systems, including their procurement and end-to-end validation (in close collaboration with TEC-EF); Engineering of on-board software in all phases including pre
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verification of integrated circuits for communication, computing, automotive, power and/or instrumentation application domains Experience in microelectronics system design definition, analysis and development
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computational and laboratory facilities. In particular, the Division is in charge of: performing design, development and verification of spacecraft structures, mechanisms, materials and manufacturing processes by
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innovation hub” connecting EO with a growing ecosystem of disruptive and transformative innovation like AI, ML, Quantum Computing, Edge Computing, Metamaterials, Photonics, etc.. Many of the challenges posed