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theoretical advances into practical insight and tools that can support analysis, design and decision-making for AI-enabled space systems, thereby bridging the emerging scientific theory of deep learning with
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is to be the “EO innovation hub” connecting EO with a growing ecosystem of disruptive and transformative innovations such as AI, machine learning, quantum computing, edge computing, metamaterials and
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-engineering activities, as well as the team’s other main research lines (for example AI for guidance, navigation and control, unconventional computing and mission analysis), via the ACT website (https
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on advanced mathematical and numerical topics relevant to space applications, with a focus on developing new theories, methods and computational approaches rather than merely extending existing work; design
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, navigation and control, unconventional computing, and mission analysis), via the ACT website (https://www.esa.int/gsp/ACT/) . You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of