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unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics
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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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communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results into applications in close collaboration with
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machine learning for safe and optimal control of cyber-physical systems. The projects are expected to be funded by the VILLUM INVESTIGATOR project S4OS (“Scalable analysis and synthesis of safe, secure and
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of security measures. Therefore, based on information from open sources, background checks may be conducted on candidates for the position. Further information for international applicants about
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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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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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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