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PhD students, the Centre for Sustainable Cyber Security (CS2) has been conducting pioneering research across several areas of cyber security, from trustworthy IoT, and XR cyber security to certified
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is still to materialise, with one of the key barriers being its cyber security and privacy concerns. These concerns include data security, user privacy, and the potential manipulation or tracking
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explore solutions to implement grid optimisation in a cyber-secure manner, such as enabling encryption services, and quantify the associated trade-offs. The results will be validated using datasets provided
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across both physical and digital technologies, to deliver a cyber-physical platform for the autonomous inspection, digital representation, and maintenance of highways. The successful candidate joins a
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board development to support local AI in ATMs for enhanced security. Please note, this is open to home students only. PhD Studentship:cyberQuarter. The Studentship is available for an October 2025 start
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languages (C,C++, Python) Knowledge of offensive security Good scientific writing Involvement in the preparation of articles for publication in scientific journal(s) Data analysis skills Knowledge of advanced
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, embedded intelligence, and adaptive cyber-physical systems that operate safely under uncertainty and dynamic conditions. This PhD at Cranfield University explores the development of resilient, AI-enabled
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Project title: Privacy/Security Risks in Machine/Federated Learning systems Supervisory Team: Dr Han Wu Project description: In the wake of growing data privacy concerns and the enactment
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A funded PhD studentship is available within the Autonomous and Cyber Physical Systems Centre at Cranfield University, Bedfordshire, UK. As aerospace platforms go through their service life, gradual