Postdoctoral Researcher in Atomistic Materials Modeling

1 week ago


Albuquerque, New Mexico, United States Sandia National Laboratories Full time
About Sandia National Laboratories

Sandia National Laboratories is a premier science and engineering lab for national security and technology innovation. Our teams of specialists focus on cutting-edge work in a broad array of areas, including materials modeling and high-performance computing. Some of the main reasons we love our jobs include:

Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
Extraordinary co-workers
Some of the best tools, equipment, and research facilities in the world
Career advancement and enrichment opportunities
Flexible work arrangements for many positions, including 9/80 and 4/10 compressed workweeks, part-time work, and telecommuting
Generous vacations, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance, and amenities aimed at creating a solid work/life balance

What Your Job Will Be Like

We are seeking a Postdoctoral Appointee in the areas of atomistic materials modeling, machine learning, and high-performance scientific computing. You will address challenges in the development of novel interatomic potentials for molecular dynamics, the creation of multiscale simulation capabilities, and the application of machine learning to problems in materials modeling. This position provides the opportunity to collaborate with a diverse set of colleagues and engage with the broader research community through publications and participation in leading scientific conferences.

Our Team

The Computational Multiscale Department performs outstanding research and development in physics-based materials modeling and high-performance computing. We combine expertise across multiple fields to solve science and engineering problems in support of the DOE mission. Our team brings together authorities in density functional theory, molecular dynamics, direct simulation Monte Carlo, microstructure modeling, continuum mechanics, equations of state, and peridynamics. We lead a number of software development efforts, including the LAMMPS molecular dynamics code and the FitSNAP machine learning interatomic potential software, and strive to advance the state of the art in materials modeling through a wide range of collaborations across the laboratories.

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