645 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" uni jobs at University of Sheffield
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to submitting your application. Please refer to the EPSRC DLA webpage for detailed information about the EPSRC DLA and how to apply. Funding Notes The award will fund the full (UK or Overseas) tuition fee and a
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routine maintenance. Essential Interview A full UK driving licence. Essential Interview Effective communication skills with the ability to receive instructions and pass information clearly and concisely
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, or set up your own company. You will have access to a range of training and support services to help you excel in your studies and beyond. How to apply Please contact Dr. Kang Lan Tee information or informal
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discipline. For more information and informal enquiries about this position, please contact Sabino Ayvar-Soberanis s.ayvar@amrc.co.uk or Professor Pete Crawforth p.crawforth@amrc.co.uk. The University
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including instrumentation set-up. The collected data from these will feed into a novel mapping approach to link grinding parameters to rail surface quality. The University of Sheffield is one of the leading
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, industry, and data-intensive research. Why Sheffield? Sheffield offers a comprehensive graduate development programme, including training in research planning, academic writing, and leadership. You’ll have
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Application Further Information Grade 6 Salary £31,637 - £36,130 Work arrangement Full Time Duration Permanent Line manager Mechanical Engineering Manager Direct reports Mechanical Engineering Technicians Our
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Application/ interview Further Information Grade: Grade 8£48,822 - £58,225 Duration:12 months, to start as soon as possible and no later than mid March 2026. Line manager: Programme Director Direct reports
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computer-based models of manufacturing process, allowing for analysis, optimisation and visualisation of operations before physical implementation. It is a sought after skill in many high-value manufacturing
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robots have the task to inspect underground sewer and clean water pipe networks. The robots are equipped with different sensors and with data from them can perform intelligent sensing and navigation