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Job Purpose The successful candidate will contribute to a project focusing on remote RF Sensing and its applications in healthcare involving technologies for both sensing and communications, under the supervision of Prof. Muhammad Ali Imran and Prof Jonathan Cooper, who will act as Line...
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. The enhanced image quality will support earlier and more reliable detection of eye diseases. Combining artificial intelligence with mathematical modelling, this non-invasive, cost-effective approach has
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level (or international equivalent) in a science, mathematics or engineering discipline. Applicants without a master's qualification may be considered on an exceptional basis, provided they hold a first
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, Mathematical Sciences, Materials Science and Engineering, and Chemical Engineering are welcome to apply. If you are seeking an exciting opportunity to become part of a multidisciplinary team of esteemed
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, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written). Knowledge in cryptography is desirable. Studentship and eligibility The studentship covers: Full
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
relevant field such as engineering, computer science, or applied mathematics. Experience or interest in AI, machine learning, or digital systems is beneficial. We welcome candidates from diverse backgrounds
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(physics, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written). Knowledge in cryptography is desirable. Studentship and eligibility The studentship
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms
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academic writing. You possess methodological competence in modern theoretical concepts and mathematical tools in quantum information, general relativity, and quantum foundations. You demonstrate didactic
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to velocity profiles, which will be informative for the design of offshore renewables. Further mathematical analysis of these nonlinear terms will shed light on the question: what generates these extreme waves