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verified using myriad methods. These verification approaches range from extensive testing and simulation through to formal proofs of correctness. When used in a corroborative fashion, the results
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This PhD offers a unique opportunity to work at the intersection of formal methods, control engineering, and cybersecurity within the high-stakes environment of aerospace propulsion. You will be a
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PhD studentship in Computer Science: From Formal Requirements to Specification-based Automated Testing for Safety-Critical Medical Device Software Certification Award Summary 100% fees covered, and
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-second-class undergraduate degree (or a Master's degree) in Computer Science, Mathematics, Statistics, or a closely related field Solid grounding in machine learning and/or probability/statistics
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engineering, formal methods, and safety assurance. Prior experience in formal methods or medical regulation is not required. The project includes training, supervision, and gradual progression into research
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the CRADLE team, the project will further refine and verify the proposed control framework through formal verification techniques. We are seeking highly motivated candidates with a strong background in control
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PhD studentship in Computer Science - Dynamic Validation of AI Systems in Digital Twins: A Real-Time Safety Framework for Critical Infrastructure Resilience Award Summary 100% fees covered, and a