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metrics during both standard operation (primarily governed by system reliability) and extreme events (primarily governed by robustness and restoration). This will be achieved by building on previous
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable
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profile Completed university degree (Master’s) in biology, geosciences or related areas Experience in morphology, neuroanatomy, and paleontology of turtles is desired Expertise in the analysis of digital CT
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workflows for descriptor based microstructure reconstruction to identify material parameters for crystal plasticity simulations from experimental data through inverse analysis to establish structure–property
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deep learning methods to enhance the predictions beyond existing data. By incorporating microstructural features into predictive models, the aim is to create a reliable data-driven modelling framework
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of the projected weather parameters into the RESkit framework and subsequent calibration and validation of the output Global simulation of the electricity output under various climate change scenarios Analysis
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Element simulations (e.g. pushover analysis and/or incremental dynamic analysis). Moreover, the project aims to verify the ductility requirements with full-scale experimental results and explore
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developing novel composite materials with superior ballistic and hyper-velocity impact protection. The PhD research will help improve the reliability and longevity of space satellites. Composite materials have
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Analysis. Green Aviation Operations and Infrastructure. Aviation Environmental, Commercialisation & Socio-Economic Aspects. The CDT in Net Zero Aviation is the world’s first Centre of Excellence for Net Zero
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languages, artificial intelligence, and security, with a focus on tools and techniques for constructing reliable, efficient, and secure software. General areas of research include: Artificial intelligence