Post doc position, 2-3 years: Generation of ML models to interatomic potentials trained from Dynamical Mean Field Theory Calculations

https://wvu.taleo.net/careersection/wvu_research/jobdetail.ftl?job=15907&tz=GMT-05%3A00&tzname=

Application deadline: February 1, 2021. Only applications sent through the linked website will be considered.

A 2-3 year postdoctoral fellowship is available at the Physics department at Wet Virginia University, collaborating with Argonne National Laboratory. The goal is to develop machine learning-based force fields for strongly correlated materials. The training data will be obtained from our in-house Dynamical Mean Field Theory package (DMFTwDFT), which is freely available https://github.com/DMFTwDFT-project/DMFTwDFT. This project is in collaboration with Prof. Subramanian Sankaranarayanan, group leader of the theory and modeling group at ANL. Our main focused are materials used in memristors applications, usually those with a clear Metal to Insulator transition. This project is funded by the Department of Energy in the US. Additionally,to this postdoctoral position, a Ph.D. candidate.

For information about the position, please contact: Professor Aldo Romero, [email protected]

Though the application has to be submitted through the university web page, we look for a research fellow with a Ph.D. degree in materials science, solid-state physics, or a related field. Demonstrated experience in electronic structure calculations and, in particular, on strongly correlated materials will be a plus. Besides the CV and the cover letter, please include the name and email address of two referees.