Postdoctoral Appointee - Computational Materials and Data Science - Onsite

About Sandia:

Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:

• 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 include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
• Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

* These benefits vary by job classification.

Do you enjoy understanding and characterizing materials aging and reliability across multiple length and time scales through various theoretical and computational techniques? If so, you would be perfect to join our computational materials science team. Our team specializes in research at the intersection of computational materials and data sciences to investigate the nanomechanics of materials.

The Center for Integrated Nanotechnologies (CINT) is seeking a postdoctoral appointee to support the research in the area of multiscale modeling of materials evolution. Your strong background in materials modeling, computational science will be extensively exercised.

• Use state-of-the-art atomistic and phase-field simulation tools to investigate aging mechanisms in microstructures at the meso- and nanoscale.
• Develop tools for data materials and analysis.
• Partner with in-house code development teams to develop, implement, and utilize predictive computational tools.
• Interact and collaborate with material scientists and experimentalists to design and conduct experiments to facilitate physics discovery and model validation.
• Publish journal articles and present work at local and national conference.

Due to the nature of the work, the selected applicant must be able to work onsite.

• PhD in Materials Science, Mechanical Engineering, Applied Physics, or related field.
• Background in the foundations of mechanics of materials.
• Experience with multiscale materials modeling
• Experience with atomistic simulations, Monte Carlo simulations, phase-field simulations, and/or crystal plasticity.
• History of publication results in peer-reviewed journals and presentations at scientific conferences.

• Experience with data-driven methods such as machine learning and/or artificial intelligence.
• Experience with a programming language such as Python, C, C++, Julia, MATLAB, and/or Fortran.
• Knowledge of and/or experience with experimental methods for material characterization.
• Ability to work well in a team environment, including strong verbal communication skills.

Our department supports the Center for Integrated Nanotechnology (CINT). CINT is a Department of Energy/Office of Science Nanoscale Science Research Center operating as a national user facility devoted to establishing the scientific principles that govern the design, performance, and integration of nanoscale materials. Through its core facility in Albuquerque and gateway facility in Los Alamos, CINT provides users from academia, industry, and government labs open access to the tools and expertise needed to explore the continuum from scientific discovery to the integration of nanostructures into the micro- and macro world.

CINT is an equal partnership between Sandia National Laboratories and Los Alamos National Laboratory.

This posting will be open for application submissions for a minimum of seven (7) calendar days, including the ‘posting date’. Sandia reserves the…