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Position: Research Associate in Computational Simulation of Cerebral Blood Flow
Institution: University College London
Department: Chemistry
Location: London, United Kingdom
Duties: The post-holder will work primarily on scientific applications of HemeLB, a flexible lattice-Boltzmann code for the simulation of blood flow in support of medical and clinical decision making and for physiological research. The postholder will be expected to engage closely in the development of software within the project, including contributions to the verification, validation and uncertainty quantification toolkit which will be a central output of VECMA
Requirements: The successful candidate will have a PhD degree (or about to be awarded a PhD) in an area of the mathematical, physical, engineering and computer sciences or related areas, with extensive experience of modelling and simulation, particularly involving high performance computing, preferably with the lattice-Boltzmann method. An excellent and consistent publication track record is also essential
   
Text: Research Associate in Computational Simulation of Cerebral Blood Flow, - Ref:1727273 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) ?34,635 to ?41,864 per annum Duties and Responsibilities Applications are invited for a Research Associate to work with Professor Peter Coveney in the Department of Chemistry at University College London. The successful candidate will join a very active inter-disciplinary group in the Centre for Computational Science, and will work on providing guiding theoretical principles and computational methods for the design of novel materials based on their atomic composition and structure. The post-holder will work primarily on scientific applications of HemeLB, a flexible lattice-Boltzmann code for the simulation of blood flow in support of medical and clinical decision making and for physiological research. The postholder will be expected to engage closely in the development of software within the project, including contributions to the verification, validation and uncertainty quantification toolkit which will be a central output of VECMA. The post is funded by the European Commission and is available from 15 June 2018 or soon thereafter, for a period of 24 months initially. Key Requirements The successful candidate will have a PhD degree (or about to be awarded a PhD) in an area of the mathematical, physical, engineering and computer sciences or related areas, with extensive experience of modelling and simulation, particularly involving high performance computing, preferably with the lattice-Boltzmann method. An excellent and consistent publication track record is also essential. Please note, appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Research Assistant Grade 6B (salary ?30,316 to ?31,967 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. Further Details A Job Description and Person Specification can be accessed at the bottom of this page. Please include a publication list along with CV. To apply for the vacancy please click on the 'Apply Now' button below. 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 Judith James ? j.k.james@ucl.ac.uk . We particularly welcome applications from black and minority ethnic candidates as they are under-represented within UCL at this level. Closing Date 1 Jul 2018 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Bronze award, in recognition of our commitment to 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 the UCL Terms and Conditions related to this job, employee benefits that we offer and further information about UCL . Job Description & Person Specification Apply Now
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