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frameworks: comparative analysis of policy regimes in analogous fields, such as fisheries management and environmental regulation, and assessment of the transferability of regulatory instruments, such as cap
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and GRAS frameworks, together with the application of such developments to real-life cases of ESA spacecraft and missions. As part of this work in ESA's Space Environments and Effects Section
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as a pathfinder for novel technologies and working methods across all space domains. The overarching goal of this research fellowship is to develop and study advanced theoretical frameworks for deep
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intelligent frameworks to monitor EO data, spacecraft status, and contextual information, enabling autonomous event detection, replanning and optimisation. Distributed Onboard AI for Multi-Satellite
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to space-related technologies, and implement their solutions as cutting-edge, efficient numerical methods. The focus is on building rigorous frameworks that can capture the complexity of challenging
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primitives, such as templates for movement, growth, load-bearing or sensing, that can be integrated into ACT simulation and optimisation frameworks; interface with experimental and literature data from biology