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Atmospheric Product Development Cloud
2021-04-22 20:14:36| Space-careers.com Jobs RSS
With 2.000 employees worldwide, the CS Group is a leading IT company in France and in Germany, and a prime contractor in designing, integrating and operating mission critical systems. For over 30 years comprehensive CS Group solutions for space systems and applications, both on the ground and in space, have been part and parcel of this odyssey. Activities will be primarily devoted to Cloud Level2 products and parameters. Nevertheless, it may be needed to conduct nominally the same kind of activities for related products as for instance Level1 products needed as input, side products generated during the cloud retrieval, or other additional atmospheric products that could be derived by the processor when the core mission of the sensor is cloud. The usual life cycle for an operational product is first the scientific development and prototyping. When conclusive, the processor is improved to fulfil the various constraints of an operational environment, either through an evolution of the prototype or a redevelopment. The monitoring as well as evaluation of the performance is done in parallel. CDRs are usually created after many years of operational service. Other activities occur all along this life cycle. As a consequence, the centre of gravity in term of activity will strongly depend on the system, the sensor, as well as the processor. Profile University degree in a relevant discipline. Demonstrated skills in a higher programming language e.g. C, Fortran. Excellent interpersonal and teamworking skills. Communication skills, especially through scientific peerreview papers, international working groups and workshops. Fluency in English, both written and spoken. Demonstrated skills in Java programming Demonstrated knowledge of physics of optical remote sensing of atmosphere, especially for cloud andor aerosol properties, including experience in the use of radiative transfer models. Experience with the development of modular, clearly readable and adaptable scientific software is required, including the configuration control of the developed codes. Experience on the visualisation of remote sensing data using specific tools or programming languages Python, IDL. Experience in scientific analysis, especially on remote sensing of cloud or atmosphere from space, including the experience of prototyping algorithms or any related testing functions. Knowledge of the most relevant imagery missions for atmospheric products, including their products, and applications. Experience of operational satellite data processing systems. Experience on the maintenance of processors in the context of operational missions. Knowledge on instrument calibration and characterisation including longterm monitoring and validation of the performance. Knowledge of the functioning, operation, and data processing of multiviewing, multipolarisation, multispectral imaging instruments, or any similar polarimetric mission. Experience on the validation of cloud parameters derived from spaceborned sensors through insitu measurements and crosscomparisons
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