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the major research gaps for eVTOL’s EMS, including 1-Inability of Rule-based EMS to guarantee optimal performance (doi.org/10. 3390/aerospace902011), 2- Violations with the constraints and missing safety in
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This PhD opportunity at Cranfield University invites candidates to pioneer research in embedding AI into electronic hardware to enhance security and trustworthiness in safety-critical systems
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still guarantee system performance and safety? What new security features are needed to enhance the resilience of the controlled system? To analyse and design complex systems in a feasibly scalable way
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This PhD opportunity at Cranfield University invites candidates to explore the integration of AI into certification and lifecycle monitoring processes for safety-critical systems. The project delves
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(coordination) and safety constraints can be intractable. Your work will bridge this gap by providing generalizable, provable design approach that apply across a wide range of networked systems. This 3.5-year PhD
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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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participation and transparency. As digital technologies become increasingly central to the delivery of these services, ensuring their security and resilience is more vital than ever. From digital identity and
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and emerging applications, such as multi-domain autonomy and aerial mobility. With rising risks to PNT systems from interference, spoofing, and cyber-physical attacks, unified, security-aware integrity
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-assurance positioning in safety-critical applications. Cranfield is a specialist postgraduate university that is a global leader for education and transformational research in technology, management, defence
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Salary: Research Assistant: £33,002 - £34,610 per annum Research Associate: £35,608 - £46,049 per annum Newcastle University is a great place to work, with excellent benefits . We have a generous