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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
AI-assisted adversarial attacks. You will work on topics such as cybersecurity, intrusion detection, adversarial machine learning, industrial automation, digital twin technology, and reinforcement
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when necessary across all engineering disciplines; as well as the ability to manage workload and complete jobs in a timely manner as required. At all times work in compliance with the University’s
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Hangsterfer's Laboratories) EPSRC Centre for Doctoral Training in Machining, Assembly, and Digital Engineering for Manufacturing PhD Research Project Directly Funded Students Worldwide Dr Thawhid Khan, Prof
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Predictive and optimization-based control of smart grids: theory and algorithms School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr P Trodden Application Deadline
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Life cycle assessment of renewable chemical production with artificial intelligence School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK/EU Students Dr
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Urban Green Infrastructure Planning for Connectivity, Sustainability, biodiversity and multifunctionality School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Jingxia
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Meeting The National Water Demand For Hydrogen Production School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK Students Prof Solomon Brown, Dr C Rouge
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EPSRC iCASE PhD studentship with SLB - Computational modelling of advanced geothermal systems School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students
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continuous water quality measurement in rivers. This is in response to the national need to monitor wastewater overflow spills. The technology has the potential to be deployed to 1000’s of UK river locations
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temporal variations in microclimatic variables, soil moisture and ET. The work will be hosted by the School of Mechanical, Aerospace, and Civil Engineering, in collaboration with the School of Biosciences