107 computer-science-intern-"https:"-"https:"-"https:"-"https:" positions at Imperial College London
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at the intersection of theory, computation, and high‑fidelity simulation, the successful candidate will contribute to the development of a novel ensemble-based framework for analysing driven perturbations in wall
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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
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, research centres and capital projects, and delivers a strong engagement programme for alumni. Alumni of Imperial play a crucial role in supporting the university’s long‑term success, benefiting from a global
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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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, environmental epidemiology, data science/biostatistics and computational epidemiology, working closely with other academic staff and postdoctoral staff within the School. Additionally, you will play a key role in
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, Medicine, Natural Sciences, Business Management, Research and Teaching. You will support the development and delivery of project strategies and policies, contributing to continuous improvement in project
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expected. The ideal candidate will hold a PhD (or equivalent experience) in Engineering, Computer Science, Mathematics, or a closely related discipline. They will have a strong foundation in one or more of
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and postgraduates across all years of study, working closely with academic departments, employers, alumni and internal partners to create impactful career support, insight opportunities and development
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requires working with internal and external stakeholders, evaluating and reporting on funded projects, identifying new potential partners and opportunities for the Makerspace, raising the profile
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– this includes Research Software Engineers (RSEs) and technical professionals working in data and computing infrastructure / High Performance Computing (HPC) roles. Led by Imperial College London, the project is