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Research Group, University of Bristol, to develop high-performance SiC and GaN power electronics, with the associated high-speed sensing. You will be offered one of the following three salary grades
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be contingent on funding and performance. The post is located within the Astrophysics Research Centre (ARC) of the School of Mathematics and Physics. The successful candidate will work on a project
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reduce the electricity demand from AI data centres and high-performance computing. The appointed Research Associate/Fellow will conduct computational studies of electronic transport and quantum phenomena
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to the creation of knowledge in the field of early cognitive and social-emotional development, by undertaking a specified range of activities within an established research programme and/or specific research
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experiments Experience in scientific computing relevant to an online environment Proven track record of research in experimental particle physics High level analytical capability Ability to communicate complex
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innovative modelling methodologies, generate high quality computational and analytical insights, and translate these findings into improved process understanding and industrially relevant solutions. The role
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performance computing clusters would also be advantageous Strong foundation in Fluid Dynamics Strong prior experience in CFD – particularly in building fire combustion and spread. Strong skills in turbulence
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while maintaining high performance and durability. To overcome challenges related to material compatibility, anode degradation due to nitrification, slow chemical/electrochemical processes, and
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) in computational materials chemistry/physics, or related relevant area. The candidate must have demonstrable experience working with high-performance computing infrastructure. The candidate must have a
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while maintaining high performance and durability. To overcome challenges related to material compatibility, anode degradation due to nitrification, slow chemical/electrochemical processes, and