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neural networks, covering representation, optimisation, generalisation, robustness and reliability, while remaining sufficiently tractable to inform engineering practice. A key objective is to transform
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science, with research experience and peer-reviewed publications on topics of relevance to the proposed fields of research. Your PhD subject should relate to the use of SAR data for forest applications
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mission responsiveness. Building on this, the fellowship will also explore applications in fragile or complex environments, including resilience and dual-use scenarios, where the AI system will process EO
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and evolution of Digital Twin Earth by undertaking collaborative research across a range of domains and advancing the use of EO for enhanced simulations, predictions and what-if scenarios. Supporting
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structures, materials and control systems function, and to turn these into validated, reusable abstractions for space engineering. In line with this agenda, the research will make use of modern simulation and
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biomimetics projects of the ACT, revisiting earlier ideas with new tools, data and perspectives. As an ACT researcher, you will: publish results in high-impact, peer-reviewed journals and conferences, and use