138 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of London
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delighted to hear from you. To apply, please visit https://www.odgers.com/en-gb/opportunities/?r=0#AssignDetail.aspx?guid=94112 Applications are invited by close of business on Friday 9 January 2026
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the University, in accordance with the Immigration, Asylum and Nationality Act 2006. Part-Time (28 hours per week), Fixed-Term (until 18 September 2026) Applications are invited for the post of Student & Programme
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Act 2006. Full-Time, Fixed Term (24 months) Applications are invited for the post of Business Intelligence Developer in the in the Directorate of Strategic Planning and Change Royal Holloway, University
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to a broader computational strategy for next‑generation polymer design. About You You will have, or be close to completing, a PhD in materials science, engineering, physics, chemistry, or a related area
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About the Role This 4.5-year Project Manager (PM) position will co-ordinate and support the research of a £6.3 million UKRI/EPSRC funded Programme Grant, "Enabling Net Zero and the AI Revolution
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commercialisation programmes for the creative technology sector in the UK. The E&C Coordinator will require excellent people, project, organisational and event coordination skills and be agile, responsive, and
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, productivity and growth across the UK’s screen, performance and creative technology sectors. A core responsibility will be the development of a sustainable operating and business model that secures the National
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an exciting and essential senior role within the directorate. You will join Royal Holloway at an important time as the University delivers its RH2030s strategy and an associated programme of
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successful candidate must have a PhD (or equivalent) in the field of computer vision or a closely related area. They will possess the skills and ability to conduct high-quality, innovative research and to
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models. The project has the potential to bring together ideas from several different areas: mathematics (polynomials, probability, complex dynamics systems), theoretical computer science (computational