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their research within the School of Engineering’s state-of-the-art facilities. The School of Engineering is well equipped with modern manufacturing systems, analytical tools and computing equipment. It also has
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, ensuring stable operation even as system dynamics evolve. Recent advances in Modular Multilevel Converter (MMC) topologies, along with developments in battery and supercapacitor technologies, create new
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dynamic environments, including narrow spaces and interactions with unfamiliar objects. This project aligns with Rolls-Royce’s technical needs for developing soft robotic solutions to enable in-situ/on-wing
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into active networks with bidirectional power flows. This transformation introduces new dynamics and interactions between power electronic interfaces, traditional grid infrastructure, and various control
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with programming (Python, MATLAB), background in aerospace, computer science, robotics, or electrical engineering graduates, hands on skills in implementation of fusion/learning based techniques in
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includes projects in biomedical instrumentation, experimental hardware automation and programming, and computational science. Scientific publications in a relevant area are considered a significant benefit
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techniques — as well as theoretical and computational techniques that may include finite element methods, crystal plasticity theory, damage theory, molecular dynamics and advanced multiscale modelling methods
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dynamic School of Biological Sciences (https://www.southampton.ac.uk/about/faculties-schools-departments/school-of-biological-sciences ). The project will involve close collaboration with an international
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experts in the prognostics and condition monitoring field, as well as being part of our strong and dynamic research centre at Cranfield University. About the host University/Centre Cranfield is an
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
computing facilities. The Centre supports research in digital twins, knowledge-based systems, AI, and immersive technologies such as VR and AR. The candidate will work independently and collaboratively with