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The University of Sheffield is one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave
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individual with a passion for licence compliance and software asset management to join the University of Sheffield Advanced Manufacturing Research Centre (AMRC) as our new Software Asset Management Analyst. We
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at the Department of Computer Science, University of Sheffield. 99 percent of our research is rated in the highest two categories in the REF 2021, meaning it is classed as world-leading or internationally excellent
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: We are seeking a highly motivated PhD candidate to join our research project at the University of Sheffield, focusing on the development of intelligent vehicle safety strategies with a focus on brain
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at the University of Sheffield, and the Faculty of Engineering. We work closely with seven academic departments at the University, supporting all research operations across the Faculty, with our main function being
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The University of Sheffield delivers life-enhancing research, innovation and education - come and join one of the teams that makes that possible. In IT Services, we’re dedicated to providing
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PhD Scholarship: Real-Time Brain Injury Prediction and Protection Framework for Intelligent Vehicles
PhD candidate to join our research project at the University of Sheffield, focusing on the development of intelligent vehicle safety strategies with a focus on brain injury prediction. This project aims
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, teaching and student experience. To find out what makes the University of Sheffield a remarkable place to work, watch this short film: Why the University of Sheffield is a remarkable place to work and follow
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group. We are a part of an even larger research cluster working on quantum technologies at the University of Sheffield. If you are interested in applying, click on the Visit Institution Website button
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divide their time between Sheffield University and the SCM, with joint supervisions alternating between these settings and online. The methodology is designed to investigate a stigmatised subject