Job Title: Postdoctoral Appointee Topology/Shape/Inverse Optimization

Location of Position: Albuquerque, New Mexico

Employing Institution: Sandia National Laboratories

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 vacations, 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.

World-changing technologies. Life-changing careers.

What Your Job Will Be Like: Are you looking to join a team that solves significant issues for our nation’s security? 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, design of experiments, and computational design and optimization as well as topology and shape optimization.

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

  • Develop fundamental algorithm research on inverse methods, 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 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.
  • 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.

Join our team and make a difference!

Qualifications We Require:

  • You have, or are pursuing, a PhD in engineering, mathematics, computational mechanics, or a related field
  • Experience with fields of optimization
  • Experience with scientific programming
  • Peer reviewed scientific publications and presentations
  • Ability to acquire a DOE Q-level security clearance

Qualifications We Desire:

  • Experience with C++ on high performance computing systems
  • Experience with computational mechanics in solid mechanics, structural dynamics, thermal analysis, and/or electromagnetics
  • Excellent written and verbal interpersonal skills
  • Experience in machine learning with an emphasis on optimization
  • Experience implementing algorithms on heterogeneous computing architectures

About Our Team: Simulation Modeling Sciences department 1543 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 CompSim organization 1540, teaming with others developing Solid Mechanics, Structural Dynamics, Thermal Fluids, V&V, uncertainty quantification, workflow, analyst interfaces, as well as DevOps 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 than validating a conceptual CAD-CAM design, optimizing structures and materials over a wide range of parameters and environments.  • Next Generation Simulation (NGS), including the Cubit tool known for its hexahedral meshing, enables many types of Finite Element Method (FEM) discretization for computational simulation by providing meshing of CAD geometries, now including many advancements in tetrahedral meshing.  • Scaleable Geometric Modeler (SGM), a tool intended to create and explore geometries and also translate geometric representation between computer aided design and facets or finite elements.  Our Geometry and Meshing team works at the nexus of engineering, mathematics, physics, numerical methods, and software engineering on many leading-edge NGS efforts.  • Inverse Optimization tools work at the nexus of experimental measurement, test, and design, enabling reconstruction of sources, residual stress, and contact surfaces as well as design of experiments.  With a current focus in acoustic metamaterials and structural acoustics, InverseOpt tools infer information that is not directly observable and enables design that matches a desired system behavior.  • Our SEACAS tool, including Exodus and IOSS libraries, provides high-performance I/O for finite element applications.  SEACAS encompasses both production support and HPC research through ECP and ATDM programs and is used at Sandia, several other National Laboratories, commercial companies, and universities.

This Postdoctoral position is a temporary position for up to one year, which may be renewed at Sandia's discretion up to five additional years. The PhD must have been conferred within five years prior to employment. Individuals in postdoctoral positions may bid on regular Sandia positions as internal candidates, and in some cases may be converted to regular career positions during their term if warranted by ongoing operational needs, continuing availability of funds, and satisfactory job performance.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.

Application Procedure: Apply direct online at: sandia.gov/careers; Job #: 679146