Research Associate in Computational Molecular Dynamics

University College London - Department of Chemistry

Applications are invited for a Research Associate to work with Professor Peter Coveney at the Centre for Computational Science in the Department of Chemistry at University College London. The successful candidate will join a very active inter-disciplinary group and will work on the theory and implementation of novel algorithms to accelerate the performance of classical molecular dynamics codes on high performance computing platforms including those at the emerging exascale.

The postholder will contribute to the extension of established molecular dynamics codes, including LAMMPS and OpenMM in order to advance in silico advanced materials modelling and property prediction, drug discovery and clinical decision making for personalised drug treatment. The research will involve developing and implementing complex workflows which can be deployed on high performance computers and cloud environments. In addition, the postholder will support the administration of computing systems within the Centre for Computational Science.

The post is funded by CompBioMed and is available for a period of 18 months initially, and the appointment will start on 1 st February 2018 or soon thereafter.

The successful candidate will have a PhD degree in an area of Chemistry, Physics, Applied Mathematics, Computational Biology or a related domain, with a significant component of bio-molecular modelling . They must be able to demonstrate extensive experience with molecular dynamics codes and have proven programming expertise, particularly involving high performance computing including exploiting accelerators such as GPU and FPGA.

Please note that 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 6 (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.

UCL vacancy reference: 1700766       

Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button below.

Please include a publication list along with CV.

Informal enquiries should be addressed to Prof Peter Coveney ( ). Any queries on the online application process can be directed to Judith James ( ), as we wish to encourage online applications.

Latest time for the submission of applications: 23:59

Interview Date: TBC

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