Postdoctoral Fellow – HPC for Computational Materials Science and Chemistry – 97767

Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr) has an opening for a Postdoctoral Fellow – HPC for Computational Materials Science and Chemistry to join the team.

This position is focused on the development of algorithms and efficient implementation of first principle electronic structure methods in materials science and chemistry software targeting leadership class HPC systems. The developments will be focused on ground and excited state approaches including the random-phase approximation (RPA), GW method, and real-time time-dependent density functional theory (RT-TDDFT) with hybrid functionals. In addition, this position will contribute to the development and/or advancement of open-source software tools. Involvement in the publication of the research and contributions at conferences is expected.

The position will be part of an integrated team of computational materials scientists, chemists, physicists and HPC application developers that will design and deliver novel approaches, methodologies, algorithms and software to tackle large scale ground and excited state first principles materials simulations and scaling efforts to future leadership class HPC Exascale architectures.

For full description and to apply, please visit http://50.73.55.13/counter.php?id=24992