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. CADI is supported by the UK Department for Science, Innovation and Technology with a remit to develop science-policy interfaces to aid the adoption of transformative AI applications across the UK
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As a Research Associate in Data-Driven Optimisation, you will work at the interface of chemical engineering, machine learning and automation, to develop next-generation workflows for the design and
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imaging, physiological measurement, machine learning, and high-performance computational modelling. You will work with cardiology, cardiac electrophysiology, imaging, and biomedical engineering teams
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or closely related field (statistics, physics, biomedical engineering). - Experience communicating with multidisciplinary researchers. - Practical experience with large-scale real-world time-series data
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Rankings 2026, Imperial has a mission to deliver excellence in research and education across science, engineering, medicine, and business. The Natural Sciences and Trusts, Foundations & Corporates
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and life cycle assessment to understand the business opportunities that may arise. You must hold a Ph.D. in (bio)chemical engineering, (bio)process engineering, biotechnology, chemistry, or a related
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communication skills and enthusiasm for advancing fundamental turbulence research. Research Associate: Hold a PhD in Fluid Mechanics, Engineering, Applied Mathematics or a closely related discipline, or
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in industry-university collaborations and technology transfer and you will be an integral member of Imperial’s Enterprise Division , working with leading global companies and our world class
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technology for precisely delivering distinct drugs to targeted brain regions with exceptional spatial and temporal control. Our approach will engineer microbubbles capable of carrying drug payloads
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significant technology transitions of our time. CADI is established as a joint centre with the World Economic Forum, offering an exceptional opportunity to engage with, learn from and build partnerships across