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Computational verification of high-speed multi-material flows, where physical experimentation is highly limited, is seen as critical by the Defence Sector (source: the UK Atomic Weapons
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(Enrolment open from mid-September) Supervisors: Dr Saptarsi Ghosh Prof David Ritchie Dr Dan Lamb Aligned programme of study: PhD in Electronic and Electrical Engineering OR PhD in Materials Engineering Mode
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disruptive aircraft configurations involves combining advanced engineering practices, including computing power, sensing, AI/ML, and system-level engineering. Comprehensive verification and validation
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leader in graph data base technology. The supervisory team has a strong publication record in systems, distributed systems and concurrency, programming languages, and formal verification, including
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Cyber Security team. Successful candidates would become members of UWECyber , an NCSC-certified Academic Centre of Excellence in Cyber Security Education (ACE-CSE), along with the Computer Science
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technology presents significant societal and security challenges, particularly in digital forensics and identity verification systems. While current AI-based detection approaches show promise, they face
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algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised
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at the Alan Turing Institute and at the Department of Computer Science, University of Warwick. Entry requirements Applicants should have a first or second class UK honours degree or equivalent in a related