The post holder will develop new cross-cutting algorithms for Uncertainty Quantification, to create multi-fidelity and multi-physics surrogates and investigate their design of experiments, in coordination with collaborators working on Verification and Validation and on software engineering platforms. The fellow will analyse their strengths and deploy them onto supercomputers, together with collaborators and partners. Some of the key applications will include nuclear fusion modelling with the UK Atomic Energy Authority, and weather and climate modelling with the Met Office and Cambridge University. The posthodler will have access to national and international supercomputing facilities, and have the opportunity to access training, present at conferences and workshops, and be involved in Knowledge Exchange activities
Requirements:
The postholder will have a proven record of ability to carry out high quality research in a branch of statistics, applied mathematics, computational sciences, including conference presentations and publications in highly regarded peer-reviewed journals. The postholder will have expertise in numerical modelling and data sciences, specifically Uncertainty Quantification and be able to collaborate with researchers in other disciplines and research software engineers
Text:
Research Fellow in uncertainty quantification The post holder will develop new cross-cutting algorithms for Uncertainty Quantification, to create multi-fidelity and multi-physics surrogates and investigate their design of experiments, in coordination with collaborators working on Verification and Validation and on software engineering platforms. The fellow will analyse their strengths and deploy them onto supercomputers, together with collaborators and partners. Some of the key applications will include nuclear fusion modelling with the UK Atomic Energy Authority, and weather and climate modelling with the Met Office and Cambridge University. The posthodler will have access to national and international supercomputing facilities, and have the opportunity to access training, present at conferences and workshops, and be involved in Knowledge Exchange activities The postholder will have a proven record of ability to carry out high quality research in a branch of statistics, applied mathematics, computational sciences, including conference presentations and publications in highly regarded peer-reviewed journals. The postholder will have expertise in numerical modelling and data sciences, specifically Uncertainty Quantification and be able to collaborate with researchers in other disciplines and research software engineers
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