Job Title: Postdoctoral Researcher

Location of Position: Livermore, California

Employing Institution: Sandia National Laboratories

Description of Position: We are seeking postdoctoral appointees to join our multidisciplinary team developing a predictive multiscale modeling capability that will advance the fundamental understanding of plasma-facing materials in fusion energy reactors, with broader impact in materials discovery. Well-matched candidates would be creative problem solvers with fundamental knowledge spanning parts of the landscape of machine learning (ML), uncertainty quantification (UQ), and atomistic materials modeling, with experience in scientific computing, as evidenced by publications and codes. The project team includes experts in plasma-surface interactions, atomistic materials modeling, interatomic potentials (IAPs), ML, and UQ. The project at hand targets the use of ML and UQ methods for Bayesian learning of IAPs, forward propagation of uncertainty in molecular dynamics simulations, and model validation with experimental measurements. The work will involve development of advanced ML IAP constructions, optimal design, and active learning of MLIAPs with density functional theory data, UQ with IAP model error constructions, as well as Bayesian optimization and model selection. The resulting capabilities will be integrated into a flexible multiscale workflow and made available to the broader research community.

Minimum Qualifications: 

  1. PhD in a field of materials/physical sciences, applied mathematics, or engineering conferred within five years prior to employment
  2. Knowledge and expertise in uncertainty quantification and/or machine learning
  3. Knowledge and expertise in computational science and software development

Application Procedure: 

  1. Go to
  2. Click 'View All Sandia Openings'
  3. Search for Job ID: 678596

Contact Information: Habib N. Najm ([email protected])


Closing Date: 10/29/2021