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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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We are seeking a full time Senior Researcher to join Technical Safety and Governance (TSG) lab at the Department of Engineering Science in central Oxford. The post is funded by the Oxford Martin AI
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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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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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communications. The project includes training in AI, cyber security, FL, privacy-preserving computation, edge intelligence, and UAV simulation. Objectives Define a UAV-PFL threat model covering poisoning, backdoor
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model utility Unlearning as an AI safety primitive — exploring how federated unlearning can contribute to removing hazardous or harmful knowledge from collaboratively trained models, positioning the work
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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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complications, and improve the safety of hospital stays for people living with diabetes. These studentships are funded through GW4 BioMed3 MRC Doctoral Landscape Programme and consist of UK tuition fees, as