99 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at European Space Agency
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. mechatronics, control theory, computer science, image processing) as well as a solid foundation in mathematics and physics is strongly desirable. Proficiency in the use of computer aided engineering tools is an
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teams required to support and implement Mars and Beyond Science activities; managing the preparation and dissemination of science data products; engaging with the science community, ESA’s science advisory
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States globally, strengthen leadership, and seize emerging opportunities beyond technology developments. Please visit https://navisp.esa.int for more information. You are encouraged to visit the ESA
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for example, are generated and managed using a flexible and resilient industrial service-oriented architecture: the ESA Missions Operations and Data Management Framework for EO Science Missions (EOF-EOS
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provide assistance during the recruitment process. If you would like to discuss this further, please contact us via email at contact.human.resources@esa.int . Important Information and Disclaimer Applicants
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that delivers end-to-end, combining infrastructure, data engineering, data science, and operations. To generate insight and digitalise business processes, we apply AI/ML to time-series analysis, natural
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(technology) management, economics or engineering, ideally complemented with some knowledge of data science. Additional requirements You should have good interpersonal and communication skills and should be
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structured data; supporting the use of shared infrastructure for joint pilot projects with industry, enabling experimentation, testing and technology validation; assisting with the definition and application
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Location ESRIN, Frascati, Italy Our team and mission The Vega-E Programme division manages the technical and programmatic implementation of Vega-E development. You are encouraged to visit the ESA
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require the application of novel methodologies based on modern Mission Engineering, new system modelling techniques and new methods to compute aggregated service performances; new test beds to validate