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knowledge management. Your initial assignment will be to the LISA (laser interferometer space antenna) project in the Projects Department of the Directorate of Science. You will be part of the LISA Payload
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technologies, laser communication terminal systems and LIDAR instruments; detectors and focal plane assemblies; photonics and photonics integrated circuits (PIC); optical communications, adaptive optics and
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EO multispectral imagers, imaging spectrometers and Fourier-Transform spectrometers, as well as active laser payloads for Earth surface and atmosphere sensing, covering the full wavelength range from
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); the design, analysis and engineering of all antenna sub-systems, including standalone radiators, arrays, reflector and lens optics and their associated focal plane; submillimetre instrument architecture
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Chemistry Section operates state-of-the-art space simulation facilities(vacuum, temperature, EM and particle radiation, etc.), as well as instruments to characterise physical and chemical properties in
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for electrical and functional characterization; Reverse engineering and EEE parts physical analysis under adequate monitoring (performance of constructional analysis); Support to Radiation test of EEE Components
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spectroscopy technologies in the visible and infra-red is considered to be an advantage. Knowledge of and hands-on experience of detector characterization and knowledge of space radiation effects upon detectors
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the IRIS² commercial infrastructure and standalone systems providing “light gov” services; report to and support the Head of the Integrated Programme Team as required. In addition, you will perform a liaison
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, the precise orbit determination receiver(s) and the passive laser retroreflector. You will also be responsible for the development of the on-board payload data processing elements, as well as the on-ground
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for the development of integrated circuits (from specifications to tested devices); radiation mitigation techniques for ASIC and FPGA. * except for RF payloads. ** including Artificial Intelligence and Machine Learning