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-term potential. This analysis will serve as a critical input for the development of a robust, evidence-based EO commercialisation strategy. The activity will also aim to bridge cutting-edge macroeconomic
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first proof of concept related to anomaly detection at sea already exists); implement explainable AI and uncertainty-aware models to ensure transparency and trust in hyperspectral-based decision-making
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for the traineeship This fellowship aims to explore the use of space and ground-based EO products integrated with disruptive technologies to address climate adaptation, resilience and/or mitigation. For example
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; design (novel) possible solutions based on quantum computing algorithms, in combination with HPC and AI, for the target EO use cases; familiarise yourself with various quantum computing hardware
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conventional, frame-based sensors in comparison to event-based sensors, which are more commonly associated with neuromorphic computing. This work will support mission design decisions regarding the suitability
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architectures and patterns for space and ground-segment systems. 2) Digital system security engineering Utilising novel model-based frameworks to facilitate the application of emerging system security standards
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-mechanical side. Based on ongoing studies within the Section, you will detail the overall test bed architecture based upon engineering and high-fidelity tools. Existing tools within the Section will be used
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focus on vision-based navigation and hybrid navigation concepts. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship The foundation of AOCS
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involved in the innovation and application of methodologies and technologies in the following fields: model-based engineering; modelling and simulation; visualisation by means of augmented reality, virtual