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skills, with the ability to build strong working relationships. Essential Application/interview A high level of computer literacy and experience in the use of Excel and MS Office software. Essential
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Data Driven Modelling, Machine Learning, Applied Mathematics/ Statistics, or related engineering and computing fields (or have equivalent experience) Essential Application Strong background in data
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along the Booster Neutrino Beamline at Fermilab, USA. Each detector in the SBN programme utilises the liquid argon time projection chamber (LArTPC) technology. The main goal of the SBN programme is to
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Designing Safe & Secure Control Architectures for Cyber Physical Aerospace Systems School of Electrical and Electronic Engineering PhD Research Project Directly Funded UK Students Dr Andy Mills
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Interplay between Algorithms and Combinatorics School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Parinya Chalermsook Application Deadline: 31 July 2025 Details
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with a high degree of accuracy and attention to detail and will have previously supported student or programme related processes. They will also be able to build effective relationships with staff and
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sophisticated in their design and servicing. Main duties and responsibilities · Responsible for mechanical engineering works within the designated zone and in other disciplines or zones to assist with
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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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, Galois, Defence Science and Technology (DST) and the Universities of Amsterdam, Augsburg, Melbourne and Oldenburg. The post will be based in Sheffield working at Sheffield’s School of Computer Science
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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing