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Meteorological Products Software Engineering Consultancy Support
2016-03-05 12:10:10| Space-careers.com Jobs RSS
With 1.700 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. It has now been over 30 years that comprehensive CS solutions for space systems and applications, both on the ground and in space, have been part and parcel of this odyssey. Our German activities grow at fast pace and to face our costumers high level expectations and needs, we are looking for talented profiles having relevant experience in Space systems. The key person shall work in the EUMETSAT Remote Sensing and Products Divisions RSP Atmospheric and Imagery Applications group AIA. Within the EUMETSATs Technical and Scientific Support Department TSS, RSPs role is to develop, implement, validate, and evolve operational observational products from EUMETSAT and agreed third party satellites. Additionally, RSP provides support to EUMETSATs future programmes. The geophysical products most relevant to this post are those involving different cloud processes e.g. atmospheric instability, cloud formation, and precipitation derived both from geostationary and polar orbiting satellite data. The Consultant will also participate, if necessary, in the operations preparation, launch and commissioning phases of new satellites. The key person shall analyse, support the design, operational implementation and validation of the agreed changes to product algorithms. Similarly, Shehe shall support the design, implementation and validation of new product algorithms. The work is carried out in small project teams consisting of relevant experts. Shehe will also be involved in the analysis and resolution of anomalies relating to the product generation software. The tasks of the Consultant will typically include Analysis of product change proposals Design, implementation and validation of updatednew algorithms Documentation of changes related to product updates Preparation of technical notes on product implementation issues Development, maintenance and update of product generation monitoring software and the corresponding database Monitoring and operating the product generation facilities Visualisation and analysis of geophysical products PROFILE In addition to having a University degree or equivalent in a relevant discipline, such as computer science, physics, mathematics or remote sensing, the key person shall have minimum of 5 years of experience in operational product generation from satelliteremote sensing data. In addition, experience in validation of geophysical products from satellite data is highly desirable. Furthermore, the key person shall have practical, demonstrable experience with Algorithm software development using FORTRAN 9095 IntelGNULinux andor IBMPOWERAIX environments Implementation of scientific algorithms from a given specification and their documentation Source code control systems Subversion andor git Anomaly correction processes Python and IDL programming languages Common meteorological data formats, i.e., BUFR, CAP, GRIB, HDF5, and netCDF Authoring clear and concise technical documentation Practical, demonstrable experience of the following will be advantageous Algorithm software development using CC programming language The operating systems GNULinux and AIX Relational databases using SQL How to apply Please consider the following points before applying Please submit your complete application documents in English. An attached cover letter should mention your availability and salary expectations. Interested applicants should submit their CV to pierre.lenahediccssytems.de and copy to francoisxavier.laffontcs.fr with the job title. Due to new work permit restrictions for this position, please apply only if you are citizen of a European Union state or if you hold all appropriate documentation and permits to work in Europe. Closing date 12th April 2016 Starting Date ASAP Interviews week 1718 2016
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Category:Transportation and Logistics