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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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, a strong degree in computer science, cybersecurity, mathematics, or a related subject. Experience with cryptography, machine learning, or systems implementation is valuable, as are solid programming
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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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, or unconventional computing); (ii) sustainable and energy-efficient computing; and (iii) secure and trustworthy hardware–software platforms for AI. These themes complement our existing departmental strengths in ultra
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specific to a single model or setting. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background in machine
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confirmed Reference: 0163-25-RR-R2 Lancaster University is part of a 5-year £6.8 million EPSRC Programme Grant on “Securing Convergent Ultra-large Scale Infrastructures (SCULI) ” conducted jointly with
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Help shape the storage infrastructure that enables researchers across the University to work securely and effectively with large-scale, data-intensive computing. This is an exciting opportunity
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The Defence Materials Centre of Excellence (DMEx) is expanding as our programme continues to accelerate. We are excited to be recruiting an Information Officer to join our growing team, supporting
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. The postholder will work closely with academic researchers, software engineers, industry partners, and departmental IT teams to ensure robust, scalable, and secure computational infrastructure capable
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attacks specific to a single model or setting. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background in