12 computational-physics "https:" "https:" "https:" "https:" "Ulster University" PhD positions at Imperial College London in United Kingdom
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to apply: Submit your application via our Apply webpages: www.imperial.ac.uk/study/apply/postgraduate-doctoral/application-process/ . When applying, please use the following details: Search course/Programme
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(or expect to gain) a First class honours MEng/MSci or higher degree or equivalent in a Computational background: engineering, physics, maths, or computer science. How to apply: Submit your application via our
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-engineering/research/ , and details of the EPSRC ADAPT‑EAF Green Steel programme are available at: https://www.imperial.ac.uk/news/266193/imperial-joins-7m-green-steel-research/
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chemistry, chemical engineering, mechanical engineering, materials, physics or a related subject, and an enquiring and rigorous approach to research together with a strong intellect and disciplined work
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webpages: www.imperial.ac.uk/study/apply/postgraduate-doctoral/application-process/ . When applying, please use the following details: Search course/Programme: Aeronautics Research (PhD) Research Topic
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London in this area, go to: https://www.imperial.ac.uk/mechanical-engineering/research/ For information on how to apply, go to: http://www.imperial.ac.uk/mechanical-engineering/study/phd/how-to-apply
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of Interest form at https://forms.office.com/e/jskWZqSQHb Shortlisted candidates will then be invited for an online interview. The successful candidate will be invited to submit a full application
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inclusive society programme. The project aims to address key challenges on enhancing climate resilience and sustainable development in rural and small urban communities by implementing transformative nature
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, their application remains narrow and computationally restrictive. The primary goal of this project is to include flutter constraints early in the aircraft design process. To achieve this, the research
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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