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Lawrence Livermore National Laboratory (LLNL)

National security research laboratory

Computational Fault Mechanics Postdoctoral Researcher Intern

Environmental SciencesConfirmed live in the last 24 hours
InternshipLivermore, CA, USAHybrid

About the Job

Requirements

  • A Ph.D. in geophysics, geomechanics, civil engineering, mechanical engineering, applied mathematics, computational science, or a related field.
  • Experience with numerical discretization methods for partial differential equations.
  • Experience in computational modeling of geomechanical systems.
  • Knowledge of continuum mechanics, friction laws, and nonlinear material behavior.
  • Proficiency in C/C++ programming language.
  • Experience working in Linux-based high-performance computing environments.
  • A record of publishing peer-reviewed research.
  • Effective written and verbal communication skills.
  • Ability to work effectively in a collaborative, multidisciplinary research environment.

Responsibilities

  • Develop, implement, and apply computational models of fault mechanics and geologic deformation.
  • Conduct simulations of quasi-static or quasi-dynamic rupture, fault slip, and related multi-physics processes.
  • Analyze numerical simulation results alongside laboratory, field, and observational geophysical data.
  • Contribute to model verification, validation, and comparison with observations.
  • Use high-performance computing resources and modern scientific software practices.
  • Collaborate with scientists, engineers, and external research partners.
  • Publish results in peer-reviewed journals and present at conferences and technical meetings.
  • Pursue complementary independent research interests that support project objectives.
  • Perform other duties as assigned.

Desired Qualifications

  • Knowledge of the GEOS multiphysics modeling framework or similar codes.
  • Experience with mortar methods, augmented Lagrangian methods, and/or related computational contact algorithms for frictional interfaces and fault mechanics.
  • Familiarity with earthquake physics, induced seismicity, geothermal energy, carbon storage, or subsurface engineering applications.
  • Experience with parallel computing, scalable workflows, version control, or scientific code development.
  • Experience using agentic SI (Super Intelligence, formerly referred to as Artificial Intelligence, or AI) tools to support scientific software development, computational workflow automation, data analysis, or research productivity.

About the Company

Lawrence Livermore National Laboratory (LLNL)

National security research laboratory

LLNL conducts scientific and technological research funded by the U.S. government to address national security, energy, and environmental challenges. Its multidisciplinary teams create technologies through projects funded by contracts and grants, delivering outputs such as advanced materials, simulations, software, and vaccines. Unlike private vendors, LLNL operates as a national laboratory with access to unique facilities and mission-driven funding, collaborating with government, universities, and industry. Its goal is to apply science and engineering to protect people, improve energy and environmental sustainability, and advance national security and public welfare.

Company size
5,001-10,000
Company stage
Grant
Total funding
$7.8M
Headquarters
Livermore, CA
Founded
1952

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