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This PhD studentship is a part of Rolls-Royce sponsored research centre developing advanced control systems to enhance the performance and efficiency of new aerospace propulsion systems. We apply a
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
for training and conferences, and includes a placement with Rolls-Royce. This project focuses on advancing digital twins with AI-driven reasoning for predictive maintenance in aerospace systems. While aircraft
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
placement with Rolls-Royce. The research focuses on AI-driven digital twins, using large language models and knowledge graphs for predictive maintenance in aerospace systems. Aerospace systems generate vast
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ITP Aero Funded PhD – Characterisation of thin sheet and foil material behaviour for aerospace forming applications Applications are invited for a PhD position at the University of Nottingham
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Applications are invited for a PhD position at the University of Nottingham addressing the behaviour of thin foil materials for aerospace forming applications. The successful candidate will have a
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Supervisory Team: Dr. Isha Gupta PhD Supervisor: Isha Gupta Project description: We invite applications for a Ph.D. position focusing on high-performance aerospace materials. As the aerospace sector
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in the aerospace industry. The primary objective is the development of computational methods and experimental techniques to investigate failure modes and quantify defects and damage in fibre reinforced
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4-year D.Phil. studentship Supervisors: Dr Simone Falco, Prof Daniel Eakins Classic finite elements approach (FEA) approximate the shape of the model using elements with planar faces, therefore representing curved surfaces with piecewise linear approximations. The error introduced by using FE is...
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research projects across areas such as: Zero Emission Technologies. Ultra Efficient Aircraft, Propulsion, Aerodynamics, Structures and Systems. Aerospace Materials, Manufacturing, and Life Cycle Analysis
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an assessment of the part quality; this will involve the development of laser beam processing on specific aerospace materials, and a model to understand the fundamental mechanisms of the process to identify