Postdoctoral Appointee: AI/ML for Uncertainty Quantification, Onsite

About Sandia

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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*

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov

* These benefits vary by job classification.

What Your Job Will Be Like

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We are seeking a highly motivated and driven Postdoctoral Appointee to join a multidisciplinary team conducting research at the intersection of computational science, applied mathematics, and data-driven modeling. The selected candidate will have the opportunity to contribute to two complementary research efforts: (i) developing AI/ML methods for uncertainty quantification in multiscale materials modeling and (ii) developing domain decomposition-based hybrid modeling approaches that couple full-order, reduced-order, and data-driven models.

For the first research effort, the selected candidate will contribute to a multiscale effort to predict metallic microstructure evolution and mechanical failures in extreme environments. Ideal candidates will be creative