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Quantum computers are on the horizon that could break the encryption protecting our banks, hospitals, and national infrastructure. This fully funded, part-time PhD studentship offers the chance to
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learning (FL), where multiple UAVs collaboratively train artificial intelligence models without sharing raw mission data. This supports privacy and efficiency, but it also creates a serious security risk: a
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research has focused on improving the performance, efficiency, and autonomy of such systems, their empirical security assessment remains underdeveloped, representing a growing and critical gap. Recent
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Applications are invited for an AstraZeneca Non-Clinical PhD Studentship in Development of an Integrated Pre-Clinical Pipeline for Safety Assessment of Small Molecule and Peptide-Based
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guardrails inspect everything in plaintext and offer weak formal assurance. This PhD asks how to build AI services that remain useful while enforcing such constraints and protecting sensitive information. Open
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Phd Studentship in Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Award Summary 100% home fees covered, and a minimum tax-free annual living
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the adoption of novel technologies. Our prior independent and DSTL-funded research has established foundational safety assurance techniques for autonomous systems: This PhD will develop an assured runtime safety
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. The successful candidate will be expected to work closely with Amentum staff and will be required to obtain Baseline Personnel Security Standard (BPSS) National Security Vetting during their PhD, with
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Application deadline: All year round Research theme: Minewater geothermal How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; students who are eligible to pay tuition
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The always-on, safety-critical nature of air traffic control raises rich and exciting challenges for machine learning and AI. The University of Exeter in partnership with NATS, the UK’s main air