Computational Mechanics Optimization Postdoctoral Appointee; Onsite

Computational Mechanics Optimization Postdoctoral Appointee (Onsite)

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:

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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://(Use the "Apply for this Job" box below)..gov

* These benefits vary by job classification.

We are seeking a POSTDOCTORAL APPOINTEE.

We have two teams that are seeking a postdoctoral appointee to develop state‑of‑the‑art methods for solving computational mechanics optimization problems in several areas. This includes inverse problems, Optimal Experimental Design (OED), and computational design with topology and shape optimization. This work requires being located (or relocating) near Albuquerque, New Mexico such that one could report to work at Sandia National Labs as needed for team activities as needed.

Depending on team and focus, on any given day, you may be called on to:

Develop fundamental algorithm research on inverse methods, optimal design of experiments, shape and topology optimization oriented towards C++ implementation in a massively parallel computing environment.

Team across computational and experimental groups at Sandia to optimize design and testing workflows, fuse test data and simulations for parameter estimation, computational non‑destructive evaluation, and design of experiments.

Implement research ideas in a massively parallel C++ computing environment.

Integrate AI/ML strategies with optimization‑based solutions for design and inverse problems.

Work well with a team of people focused in this area of research.

Publish research in leading technical journals and present work at premier conferences and workshops.

You have, or are pursuing, a PhD in engineering, mathematics, computational mechanics, or a related field.

PhD must be conferred within 5 years of employment.

Experience with fields of optimization.

Experience with scientific programming including some exposure to scripting languages and C++.

Ability to acquire a DOE Q‑level security clearance.

Peer‑reviewed scientific publications and presentations.

Simulation Modeling Sciences department 1449 enables credible design and analysis involving computational simulation and finite element method approaches for meshing, topology optimization, inverse optimization, metamaterials, and high performance computing I/O. We are part of Sandia’s Comp Sim activity, teaming with others developing Solid Mechanics, Structural Dynamics, Thermal Fluids, V&V, uncertainty quantification, workflow, analyst interfaces, as well as Dev Ops support. Users rely upon these codes for the Sandia’s Nuclear Deterrence mission, various other missions of the Laboratory, DoD, and industry partners.

We team with other research programs at Sandia and sponsor research and development of critical modeling science applications within Sandia and at partner university programs. We help coordinate and engage the International Meshing Roundtable and Topology Optimization Roundtable.

Our software tools, including the following, are intended to be used on high performance next generation computing platforms.

PLATO provides intelligent design to the Additive Manufacturing (AM) process. PLATO inverts traditional design approach by creating a computer‑optimized structure rather…