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, and manufacturing. By providing empirical evidence rather than purely theoretical assurances, the project will support regulators, system designers, and security engineers in making informed deployment
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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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no impediment to obtaining Counter Terrorist Check (CTC) and/or Security Check (SC) clearance following their PhD. Entry requirements The minimum entry requirement is 2:1 in Engineering, Physics, Materials
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supervisors. A wide variety of PhD projects is available; example project areas are: Human-machine teaming AI agents for air traffic control Weak signal analysis for air traffic control room situational
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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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PhD programme . We are looking for a motivated and intellectually curious researcher with: A first-class or strong upper-second-class undergraduate degree (or a Master's degree) in Computer
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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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information-theoretic security even against quantum-capable adversaries, making it one of the most mature and commercially relevant applications of quantum communication. However, current QKD links are limited
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quantum channel, post-quantum mathematics, and traditional classical security, into a single, unified encryption key. Crucially, the system is expected to work with the infrastructure organisations already