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process configurations. In practice, this might not be possible, that is the sample data could cover only some space, not entire space, of process parameters. Integrating prior knowledge into the learning
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project will develop novel methods for modelling and controlling large space structures (LSSs), so that they can be reliably utilised in space-based solar power (SBSP) applications. Working with leading
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This funded PhD studentship is an exciting opportunity to conduct new social-ecological research on perceptions of urban blue space. Despite often appearing to be natural systems, urban blue space
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ecological resilience and community wellbeing. You will quantify how spatial patterns, network structure and environmental context influence the capacity of blue spaces to provide co-benefits such as
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research, 88% of Cranfield’s research was rated as ‘world-leading’ or ‘internationally excellent’. The PhD project will be based within Cranfield Space Systems Centre and telecommunications and autonomous