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Position: Research Fellow in Lattice-Boltzmann Modelling and Simulation at the Emerging Exascale
Institution: University College London
Department: Chemistry
Location: London, United Kingdom
Duties: The successful candidate will work on Lattice-Boltzmann codes for high-performance computing applications including those in the biomedical domain; The post-holder will work on scientific applications of HemeLB, a flexible open source Lattice-Boltzmann code for the simulation of human vasculature. The post-holder will investigate parallel in time methods, as well as verification, validation and uncertainty quantification. They will also facilitate uptake of the software within the wider computational science community
Requirements: A Ph.D. degree in physics, computer science, computer engineering, applied mathematics or chemistry, with experience in the Lattice-Boltzmann method, is an essential requirement. Experience in large-scale high performance computing is also essential, alongside a proven ability to programme quickly and effectively in state-of-the-art high-performance computing environments; familiarity with GPU programming in such contexts is desirable. Some experience in developing and exploiting state-of-the-art methods in any one or more of multiscale/multiphysics methods, medical imaging, visualisation and computational steering would be advantageous
   
Text: Research Fellow in Lattice-Boltzmann Modelling and Simulation at the Emerging Exascale, - Ref:1883907 Click here to go back to search results Apply Now UCL Department / Division Chemistry Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) £36,770 - £44,388 Per Annum Duties and Responsibilities The successful candidate will work on lattice-Boltzmann codes for high-performance computing applications including those in the biomedical domain. The post-holder will work on scientific applications of HemeLB, a flexible open source lattice-Boltzmann code for the simulation of human vasculature. The post-holder will investigate parallel in time methods, as well as verification, validation and uncertainty quantification. They will also facilitate uptake of the software within the wider computational science community. The post is funded by the European Commission and is available immediately, for a period of 24 months initially. Key Requirements A Ph.D. degree in physics, computer science, computer engineering, applied mathematics or chemistry, with experience in the lattice-Boltzmann method, is an essential requirement. Experience in large-scale high performance computing is also essential, alongside a proven ability to programme quickly and effectively in state-of-the-art high-performance computing environments; familiarity with GPU programming in such contexts is desirable. Some experience in developing and exploiting state-of-the-art methods in any one or more of multiscale/multiphysics methods, medical imaging, visualisation and computational steering would be advantageous. Please note, appointment at Grade 7 (salary £36,770 to £44,388 per annum) is dependent upon having been awarded a PhD; if this is not the case, appointment will be at Research Assistant Grade 6B (salary £32,217 to £33,958 per annum). Further Details A Job Description and Person Specification can be accessed at the bottom of this page. To apply for the vacancy please click on the 'Apply Now' button below. Please include a publication list along with CV and covering letter. Informal enquiries should be addressed to Prof Peter Coveney (p.v.coveney@ucl.ac.uk). Any queries on the application process can be directed to H Dansey h.dansey@ucl.ac.uk We particularly welcome female applicants and those from an ethnic minority, as they are under-represented within UCL at this level. Closing Date 26 May 2022 Latest time for the submission of applications 23:59 Interview date Tbc Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job Description Apply Now
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