A new postdoctoral position is available immediately in the computational chemistry and materials science group of Prof. Bryan M. Wong at the University of California-Riverside.

We are an extremely productive and highly-published multidisciplinary group located in sunny Southern California (close to Los Angeles and Irvine). Our group focuses on both method development and application in the chemistry and material science of large systems. A website of our interests and publications can be found at:

http://www.bmwong-group.com

Job description: The postdoctoral associate will carry out machine learning approaches to accelerate ab initio molecular dynamics simulations on hydrogen-storage systems as well as large biochemical systems. These machine learning techniques will be used to complement existing expertise in our research group on density functional theory (DFT) and density functional tight binding (DFTB).

The postdoc will:

Carry out machine learning calculations for use in ab initio molecular dynamics
Write journal articles on developed methods, calculations, and results
Attend conferences and present work

Salary will be commensurate with experience level (to be determined by the University of California pay scale)

To apply, please send a full CV and concise description of your expertise to Prof. Bryan Wong at bryan.wong (at) ucr.edu