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PhD at the Forefront of Computational Solid Mechanics and Machine Learning School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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PhD in Computational Fracture Mechanics: Methods, Programming and Simulation School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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Next Generation Aero-Engine Sealing Technologies School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students Prof Matt Marshall Application Deadline: 31
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safety standards. · Assist the mechanical engineering manager to plan preventative maintenance tasks to ensure all work is completed according to programme. · Order parts and equipment
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models? How can machine learning and computer vision models be adapted to accurately classify the different tool wear mechanisms (like abrasion, adhesion, diffusion, and fracture) from high-resolution
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? Mechanical seals are critical components in high-pressure storage solutions for hydrogen and carbon capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational
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the combined effects of the entire production chain on fatigue life. The core research questions you will address are: How does machining-induced surface integrity influence fatigue failure mechanisms and the
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-generation mechanical seals for high-pressure hydrogen systems—key to renewable energy. Work with Industry Leaders: Collaborate with John Crane, a $1B global technology company driving sealing innovation. Gain
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degree in a relevant discipline (Robotics, Electrical/Electronic Engineering, Computer Science, Mechanical Engineering, or related fields). - Strong mathematical background and good programming skills
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focus on your research. Serious Funding: You’ll have access to a £35,000 research training support grant over four years. Whether it’s for experimental work, conference travel, or the latest computing