118 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" positions at European Space Agency
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language processing, and more. We own and operate the entire technology stack for Machine Learning Operations. This ensures that the models we build translate into secure, reliable, and actionable outcomes across
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conjunction with an enhanced visualization of their output and performance (e.g. through dedicated cockpits and Key Performance Indicators). You are encouraged to visit the ESA website: http://www.esa.int Field
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. The Future Space Transportation Beyond LEO unit (STS-FL) works on diverse emerging topics such as in-space transportation (e.g. space logistics, in-space transportation vehicles, advanced in-space
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; experience with specific standards and guidelines, such as ECSS-E-ST-40C, ECSS-Q-ST-80C, ISVV guide, ECSS-E-ST-70-41C, ECSS-E-ST-10C, ECSS handbooks and SAVOIR specifications, is an additional asset. Diversity
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space transportation and information engineering Knowledge of machine learning and artificial intelligence applications in data processing Proven experience in the design and development of data
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-C and Vega-E Programme Managers. Serving as the STS focal point for solid rocket propulsion activities in the Vega-C and Ariane 6 exploitation programmes, in coordination with the relevant STS
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for this position, the following is required: PhD in data or computer science, machine learning, AI, statistics, mathematics, biophysics, bioinformatics. Additional requirements In addition to your CV and your
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, PlasmaObs, LCRS, Moonlight and Henon. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship Many challenges and trends will affect the operations
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and scientific activities to building (international) community efforts around data science and machine learning. As Science Operations System Engineer for Cloud Platform development, you will be tasked
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models that provide evidence-based reasoning for mission-critical decisions. Explainable AI for mission-critical decision support: design interpretable machine learning architectures capable of offering