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Applications are invited for a fully funded fixed-term position at the Research Associate (PostDoc) level in de-risking cirrus modification. Cirrus cloud modification (CCM) could in-theory mitigate
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mechanics, corrosion, multiphysics modeling and microstructural characterisation. The candidate must be enthusiastic about working as part of a team and collaborating with national research facilities and
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approaches, including principal component analysis and machine learning, to handle multivariate datasets. Prior experience in data science is not essential; the successful candidate will be supported through
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Matlab, Python and C/C++ are preferred. Strong interpersonal skills and the capacity to work and learn independently will be required. English Language IELTS 6.0 Overall (with no individual component below
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performance of nuclear power plants. By characterizing CRUD layers through microstructural, compositional, and topographical analyses, the research endeavors to advance knowledge in the field, offering critical
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energy through more efficient design of piled foundations. The PhD student will focus on grain scale mechanics experiments and numerical modelling using the Discrete Element Method (DEM) with the aim
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catalysts. This EPSRC-funded project leverages cutting-edge X-ray spectroscopy to unlock how alkali elements can be harnessed to create powerful heterogeneous catalysts for CO₂ and hydrogen technologies. By
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programming experience (preferably in Python). If English is not your first language, provide evidence of proficiency through: A minimum IELTS average score of 6.5 and a minimum of 6.0 in each component. OR A
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paid. We expect the stipend to increase each year. Only Home students are eligible for funding. The start date is October 2026. The project aims to develop and optimize metal oxide aerogel materials
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programming experience (preferably in Python). If English is not your first language, provide evidence of proficiency through: A minimum IELTS average score of 6.5 and a minimum of 6.0 in each component. OR A