The successful candidate will join a very active inter-disciplinary group at the Centre for Computational Science, working on projects in fields ranging from condensed matter physics and chemistry to life sciences and medicine. This post will involve the development of molecular models to investigate the biophysical origins of drug resistance in pathologies such as HIV and cancer, using established molecular dynamics codes such as NAMD and GROMACS. This work will build on a range of software tools developed at the Centre for Computational Science. In addition, the postholder will be involved in building and assessing the performance of very large atomistic and coarse-grained molecular models which can be depolyed on petascale and future exascale architectures. The position is funded by the EU FP7 Virtual Physiological Human Initiative for a period of twenty-four months initially, and is available to start immediately.
-Applicants must have substantial experience of biological molecular simulation and related proven programming expertise in a suitable high level programming language such as C, Fortran and/or C++. -Experience of high performance visualisation and distributed (grid-based) high performance computing would be advantageous. -Applicants should have (or be about to obtain) a PhD in physics, applied mathematics, chemistry, computational biology or computer science with a significant component of bio-molecular modeling, and a proven ability to work as a member of a team.