80 computer-programmer-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" "https:" "https:" "Dr" "L2CM" positions at University of Leicester
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for students across a range of healthcare disciplines. Working closely with Programme Coordinators and Placement Leads, you will contribute to the smooth delivery of placement processes, maintaining accurate
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adaptive platform designs. This will include contracting and programme management, delivery of work to time and target, dissemination of findings to academic and public audiences, and reporting to funders
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completion of your PhD programme) in computing, telecommunications, electronic engineering, applied mathematics or a related discipline, with strong expertise in smart technologies in one of the areas
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information For informal enquiries, please contact Dr Benjamin Bugeat (bb283@le.ac.uk) We anticipate that interviews will take place on 27 January 2026 As part of the University’s ongoing commitment
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for deployment on edge‑computing platforms. You will also develop demonstrators to evidence the research outcomes, work independently on project milestones and contribute to publications, reports and conference
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information Informal enquiries are welcome and should be made to Dr Sian Baldock on sb850@leicester.ac.uk Applications for job share will be considered. As part of the University’s ongoing commitment
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are welcome and should be made to Dr Mayuri Gogoi on mayuri.gogoi@leicester.ac.uk As part of the University’s ongoing commitment to professional development, this role will also be considered on a seconded
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research or clinical trial processes, supported by strong organisational skills and the ability to prioritise work to meet programme deadlines. You will understand research governance and be confident
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About the role In this exciting role, you will work alongside other colleagues to provide an excellent ResLife activities programme, manage a team of inspiring staff and student staff, provide well
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forward research at the interface of mathematics, statistics and computer science, developing new methodologies for interpreting complex data and strengthening the theoretical foundations of modern AI and