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. The programmes are essentially similar to ESA’s own Graduate Trainee Programme, notably in offering the same employment conditions. They however differ in one important respect: each NGT Programme is funded by
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(i.e. mechatronics, control theory, computer science or image processing) as well as a solid foundation in mathematics and physics are strongly desirable. Proficiency in the use of computer-aided
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. Knowledge of machine learning and deep learning for image and time series analysis; experience with cloud or high performance computing environments is an asset. Ability to communicate results clearly in
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of digital signal processing algorithms for spacecraft payload and platform functions for telecommunications, navigation, Earth observation, exploration, transportation and science; participating in
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-series analysis and natural language processing. We own and operate the technology stack for ML operations, ensuring that the models we build can move from prototype to secure, reliable and actionable
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software engineering practices. Desirable Skills: knowledge of computer vision, Bayesian theory, or signal processing; experience with prototyping, experimentation, or technical evaluation of interactive
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identify those with the highest potential for early adoption in space engineering; translate theoretical advances into algorithmic innovations, design principles and prototype tools that can be integrated
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Programme (NAVISP), the General Support Technology Programme (GSTP) and InCubed. We actively explore multidisciplinary application areas, focusing on innovative concepts, cutting-edge technologies and
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the simulator as a supporting tool, you will evaluate the use of onboard AI and edge-computing architectures — including in-space data centres and AI-driven processing pipelines — capable of compressing and pre
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, process improvements and AI-enabled capabilities are aligned with business objectives. Development programme In addition to your daily work, you will take part in an extensive learning and development