32 power-electronic-"https:"-"https:" Fellowship positions at University of Nottingham
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About the Role An exciting opportunity has arisen for an Application Engineer to join the Power Electronics, Machines and Control Institute (PEMC) at the University of Nottingham. This is a hands
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motivated Research Associate/Fellow in Electrical Machines to join the University of Nottingham's Power Electronics, Machines and Control (PEMC) group — one of the UK's largest and most ambitious research
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new technology for monitoring the placenta. This involves the integration of optical and electrical human body sensors into an electronic system, their characterisation and measurements on pregnant
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, organisational and interpersonal skills are essential, together with the ability to work independently and collaboratively within a multidisciplinary environment. Experience in cancer, rehabilitation, exercise
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In this role you will support the delivery of two exciting, EPSRC-funded research programmes at the University of Nottingham, working across AI, human-computer interaction, and creative technology
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-site datasets collected across international collaborators. The role will involve working closely with MRI physicists, clinicians, computer scientists, engineers and mathematicians to ensure high-quality
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About the Role A fantastic opportunity has arisen for a Senior Research Fellow to join the Power Electronics, Machines and Control (PEMC) Research Institute at the University of Nottingham and
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have knowledge or understanding of GDPR in the context of data analysis. A record of ability to write and publish research papers and a working knowledge of quantitative analysis software packages
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, and how it might be employed in anti-trafficking work. This includes investigation into if and how forms of reproductive exploitation, violence, and abuse occur in trafficking contexts and their impacts
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the fabrication of optical fibre sensors, their characterisation, development of an opto-electronic measurement. The main aim of the proposed work is to develop an automated approach for reliable manufacturing