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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Aryan
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at: application/interview) Ability to assess and organise resources, and plan and progress work activities. (assessed at: application/interview) Desirable criteria Understanding of convex optimization theory
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briefs. Essential Application, Interview Ability to assess and organise resources, and plan and progress work activities. Essential Interview Experience of developing and maintaining a network of contacts
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awareness of faculty disciplinary themes and/or departmental research priorities and plan workflow and resources accordingly. Represent the Hub and/or Faculty at University forums, strategic project teams
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to effectively manage conflicting priorities, plan and prioritise your workload. Essential Application/Interview Decisive, quick thinking with an adaptable approach to work. Essential Application/Interview Be
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Sh.24.3 PhD in Sound Analysis for Predicting Category 1 Ambulance Calls School of Computer Science PhD Research Project Competition Funded UK Students Dr Ning Ma, Prof Jon Barker Application
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m.p.sanderson@sheffield.ac.uk Next steps in the recruitment process It is anticipated that the selection process will consist of an interview. We plan to let candidates know if they have progressed
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that the selection process will take place on a date to be confirmed. This will consist ofpresentation and a formal interview. We plan to let candidates know if they have progressed to the selection stage on the week
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Improving Deep Reinforcement Learning through Interactive Human Feedback
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of agricultural weeds to herbicdes from an eco-evolutionary perspective. This project will develop models for the evolution of herbicide resistance that combines field data and computer models. The aim is to