172 parallel-and-distributed-computing-phd positions at European Space Agency in Netherlands
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Knowledge of distribution system analysis and verification Knowledge of power processing units (PPUs) for propulsion systems Knowledge of power systems for smallsats A PhD in a relevant domain will be
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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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, Latvia, Lithuania and Slovakia. According to the ESA Convention , the recruitment of staff must take into account an adequate distribution of posts among nationals of the ESA Member States*. When short
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distribution of posts among nationals of the ESA Member States*. When short-listing for an interview, priority will first be given to internal candidates and secondly to external candidates from under
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Communications (D/CSC). The Secure Connectivity programme has been established by EU and ESA, with the objective to deploy an EU owned satellite constellation for secure communications, called IRIS
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readiness for cost accounting operations (Distribution and Assessment cycles); contributing to the analysis of the future evolution and maintenance of ESA's Cost Model, processing cost accounting transactions
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support to the implementation of ESA’s missions and programmes jointly carried out with international partners, in coordination with relevant programme directorates; support to the handling of high-level
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needs Behavioural competencies Education You should have a PhD or master’s degree in engineering or physics. Additional requirements At least seven years of relevant experience in the preparation and/or
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-1NG is the successor of the Earth Observation Copernicus Sentinel-1 SAR mission. Copernicus is the most ambitious Earth observation program to date. It is a cornerstone of Europe’s efforts to monitor
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modelling, including Star tracker Field Of View error with non-inertial pointing, dynamic stellar estimator, and tachometer stellar estimator); to model uncertainties and apply robust control for optimised