Logo of Huzzle

Postdoctoral Researcher: Computational Solid Mechanics

Applications are closed

  • Job
    Full-time
    Entry Level
  • Research & Development
    Science
  • $113.8K
  • Livermore

Requirements

  • Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
  • Ph.D. in mechanical/civil/materials engineering, applied math, condensed matter physics, engineering mechanics, computer science or related field.
  • Experience in application or development of numerical methods for solid mechanics (e.g. FEM, MPM, SPH, ALE, hydrocodes, etc.)
  • Experience with programming /code development for scientific or engineering applications.
  • Self-driven with scientific curiosity and an enthusiasm for research.
  • Excellent verbal and written communication skills necessary to collaborate in a multidisciplinary team environment.
  • Performs other duties as assigned.
  • Qualifications We Desire:
  • Any of these would be useful, a candidate is not expected to have all of these qualifications
  • Experience with numerical methods for large-deformation solid mechanics
  • Experience with constitutive model development.
  • Knowledge of theory and experimental methods relevant to the dynamic response (shock loading) of materials.
  • Experience in C++/python, especially experience with large legacy code base or coding for GPU.
  • Experience with Linux systems and high-performance computing platforms.
  • Experience with optimization methods for parameterization of physics models.

Responsibilities

  • Analyze available experimental data and identify and/or develop suitable constitutive model forms to describe strength, damage, rate, and thermal effects in a variety of engineering materials.
  • Develop, adapt, refine, and evaluate numerical methods to mitigate mesh dependency associated with localization (e.g. brittle damage, thermal softening) in large-deformation numerical simulations (e.g. ALE, Eulerian hydrocodes, MPM)
  • Use numerical optimization methods to parameterize complex material models based on available (limited, noisy, variable) data and physical constraints.
  • Use mesoscale simulation to investigate the response of composite / heterogeneous materials under dynamic loading.
  • Conduct large-deformation solid mechanics simulations to validate model for dynamic material response against experimental data.
  • Interface with experimentalists from other research groups to accurately interpret experimental data and inform prioritization of new experiments to reduce modeling uncertainty.
  • Present original research in conferences and publish in peer-reviewed journals.

FAQs

What division and group is this Postdoctoral Researcher position in?

This position is in the Atmospheric, Earth & Energy Division, Computational Geosciences Group.

What will the Postdoctoral Researcher be working on?

The Postdoctoral Researcher will be developing constitutive models and computational methods to simulate solid materials under dynamic loading.

Is the research limited to geomaterials?

No, the research will include work on a variety of materials systems, not limited to geomaterials.

Science and technology on a mission

Science & Healthcare
Industry
5001-10,000
Employees
1952
Founded Year

Mission & Purpose

Lawrence Livermore National Laboratory, located in the San Francisco Bay Area, is a premier applied science laboratory that is part of the National Nuclear Security Administration within the Department of Energy. LLNL's mission is strengthening national security by developing and applying cutting-edge science, technology, and engineering that respond with vision, quality, integrity, and technical excellence to scientific issues of national importance. The Laboratory's science and engineering are being applied to achieve breakthroughs for counterterrorism and nonproliferation, defense and intelligence, energy and environmental security. The world-class programs and capabilities at the Lawrence Livermore National Laboratory span one square mile, what many consider to be "the smartest square mile on Earth."​