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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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will be expected to engage deeply with the interdisciplinary domains of LLMs, software engineering, and performance optimization, to advance the next frontier of cutting-edge AI in system software
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science, along with proven skills in prototyping software using real-time 3D engines and implementing machine learning models. With 50+ researchers and PhD students, the Centre for Sustainable Cyber Security (CS2
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for the company, which will open new markets and opportunities. This PhD covers a wide range of skills and so it is essential the candidate has a 1st degree in electronics, computing or aerospace/space technology
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, resourceful PhD candidate, with knowledge in aircraft power systems and IT skills in MATLAB/Simulink and other related software. Applicants should have achieved or be expecting to achieve a 1st or a 2:1 in an
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must be in a position to register by October 2025 Description:This Industrial PhD studentship has been developed between Salford University and APOS. Gait rehabilitation is emerging as a promising
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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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, their validity often does not extend to the operating environment of a gas turbine, often neglecting important engine-realistic geometric features and transient operation. In this PhD project, you will apply
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applicants should contact Dr Jiling Feng for an informal discussion. To apply you will need to complete the online application form for a full-time PhD in Engineering (or download the PGR application form
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High-Performance Computing is entering a revolutionary phase characterised by Exascale capabilities, with step-changes in technology enabling numerically intensive processes to answer outstanding