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, increasing costs and resource waste. This Ph.D. project aims to address these challenges by advancing fault diagnosis and prognosis (FDP) for complex mechatronic systems. Building on Supervisor Team's
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PhD studentship: Advancing Net-Zero Manufacturing: Physics-Informed Digital Twin for Real-Time Fault Diagnosis and Prognosis in Complex Mechatronic Systems Award Summary 100% fees covered, and a
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address: Dr Fahad Panolan: f.panolan@leeds.ac.uk Project summary The Algorithms group at the University of Leeds (UK) is offering a fully funded 3.5-year PhD studentship on Parameterized Complexity and
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, such as compilers, is an exceedingly complex task that often requires investments of hundreds of millions of dollars. This project aims to explore the extent to which LLMs can be harnessed to assist in
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable
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volatile international security environment characterised by the return of great power competition, the Freeman Air and Space Institute (FASI), King’s College London, is seeking applications for a fully
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, the University of Leeds, the University of York and the UK Health Security Agency. As the climate changes, the impact of air pollution on child and adolescent health is one of the most complex and challenging
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not sufficiently understood. This involves complex physics at the interface of plasma physics, shock physics, material science and thermodynamics. The objective of this project is the computational
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per year for 3.5 years. Lead Supervisor’s full name & email address Dr Massimiliano Fasi: m.fasi@leeds.ac.uk Project summary The growing importance of artificial intelligence is fostering a paradigm
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 12 days ago
This is a fully-funded 4 year PhD offering an annual tax-free stipend of £20,780, tuition fees and an enhanced research and training grant. This PhD is one of a number of projects hosted by