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Field
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challenges in ensuring the resilience of AI in critical infrastructure. The main challenges are: a) Dynamic environments: Real-world conditions are unpredictable. Environmental factors and cyberattacks can
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supporting physical interpretation of the measured processes. While the primary focus of the PhD is experimental, the student will gain experience working at the interface of experiment and high-fidelity
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to shortlist applicants for interview. Masters at 65% Work experience relevant to the proposed project Publications - peer-reviewed Equal Opportunities The University is an equal opportunities employer and
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. To apply, please contact the main supervisor; Prof Nick Lockyer -nick.lockyer@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant experience
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and a strong interest in computational modelling and programming. To apply, please contact the main supervisor, Dr. Mara Strungaru - mara.strungaru@manchester.ac.uk . Please include details of your
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IDLA studentships are available for eligible home students and a limited number of international students. Applicants should have (or expect to be awarded) a good UK Master's degree (or overseas
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electric motor manufacturing platforms at both locations. Project Description Electrification is a main enabler for decarbonised transportation. Ambitious roadmaps to achieve the “Net Zero” target by 2050 in
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/Orthoptics/Ophthalmology or a relevant Masters qualification. Essential skills include: Previous research experience and/or clinical experience in use of virtual reality devices or vision assessment in
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the opportunity to work, for part of the time, in GE Vernova’s main HVDC design office, based in Stafford, UK. Here the candidate will have the opportunity to see, design, manufacturing and advanced
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to human and environmental interactions across various sectors such as healthcare, education, and urban planning. The primary aim of this project is to develop Multi-Intelligence Agents (MIAs) that combine