Postdoctoral Appointee - Computational Chemistry

Argonne National Laboratory’s Materials Science Division (MSD) invites applications for a Postdoctoral Appointee in computational materials chemistry and atomistic modeling to investigate the behavior of soft materials under operating conditions.

The successful candidate will implement state of the art molecular dynamic simulations using machine learning potentials and apply free energy methods to uncover mechanisms of chemical reactivity and degradation. The appointee will have the opportunity to collaborate with a multidisciplinary team, working closely with experimental researchers whose studies will complement and inform the computational findings.

Responsibilities include designing and performing simulations, developing analysis workflows, interpreting results, and preparing scientific publications and presentations.