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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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to evaluate computational properties and train heterogeneous networks of devices applied on challenging real-world tasks. This post will develop state-of-the-art machine learning models to develop and
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Early-stage failure prediction in fusion materials using machine learning CDT in Developing National Capabilities for Materials 4.0 PhD Research Project Directly Funded UK Students Prof Christopher
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Intelligent Materials Health Monitoring: Utilising Machine Learning to Ensure the Long-term Stability of Perovskite Solar Cells CDT in Developing National Capabilities for Materials 4.0 PhD Research
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Machine Learning Methods for Enhancing Autonomy of Unmanned Aerial Vehicles in Wildfire Detection and Localisation School of Electrical and Electronic Engineering PhD Research Project Self Funded
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Machine Learning Methods for Autonomous Robot Navigation, Localisation and Pipe Inspection School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova
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Joining the Dots between AI, Machine Learning and Materials Advances in Green Technologies CDT in Developing National Capabilities for Materials 4.0 PhD Research Project Directly Funded UK Students
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Artificial intelligence and machine learning methods for model discovery in the social sciences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Robin Purshouse
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Machine Learning Approaches. You will have access to the excellent training opportunities at the University of Sheffield, and will spend time on site at Procter and Gamble. A range of highly desirable
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extraction, as well as the model feature and machine learning based TCM into the framework of digital twins. This allows building up and updating a digital twin of machine tool dynamics via a completely data