36 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Surrey
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technology with CoSTAR. It is initially fixed-term upto May 2028 (extensible subject to funding). The role is based at the Centre for Vision, Speech and Signal Processing (CVSSP, University of Surrey), which
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. This is a part time role working 14.4 hours/week. About you The candidates will need to have: A degree in Engineering, Computer Science, AI, Data Analytics, or a related field. Strong programming skills in
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mathematics, physics, or electronics and telecommunications engineering. Experience in any of the following areas is advantageous: computational electromagnetics, partial differential equations, boundary
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limited to: 1. Strategically plan, organise, and manage the built environment capital works programme and its related resources and services to ensure project delivery meets good practice, in line with the
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. See UKCISA for further information. Starting in October 2026. You will need to meet the minimum entry requirements for our Engineering Materials PhD programme. Candidates must meet Surrey graduate entry
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well as genetically-engineered disease mouse models in vivo. The successful candidate will join an ambitious BHF-funded research programme aimed at uncovering how cardiomyocytes sense and respond to mitochondrial
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impactful research with excellent teaching and the strengths of a technology-led university. We are ranked in the top 10 for business and economics in the United Kingdom by the Times Higher Education World
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individually, make a real difference. The role The Faculty of Engineering and Physical Sciences at the University of Surrey is seeking to recruit a full-time researcher to the project: “Multi-Application BONDing
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, you will engineer and investigate synthetic microswimmers capable of generating propulsion forces, uncovering the new fundamental principles that govern their movement. The physics of swimming
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“black boxes,” making it difficult for regulators, engineers, and the public to understand or verify why an AV behaved in a particular way. This lack of transparency is a major barrier to certification