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Computational Modeling of Energetic Materials - Postdoctoral Researcher

Entry Level | Full-time
Postdoctoral/Fellowship | livermore, CA | 05/24/2022

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Company Description

Join us and make YOUR mark on the World!

Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

We are committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is essential to innovation and creativity for continued success of the Laboratory’s mission.

Job Description

We have an opening for a Postdoctoral Researcher in computational modeling of energetic materials and shock wave physics. Research will focus on applying particle-based modeling techniques to predict mechanical, thermal, and chemical kinetics terms for multiphysics models of material response under extreme conditions, including shock initiation and detonation. Key aspects involve formulating computational models of material response under dynamic loading conditions and developing reduced-order models of effective material properties. You will use machine learning and computer vision techniques to analyze massive datasets and extract dynamical properties for multi-scale simulations.  You will be part of an interdisciplinary team that works on making connections between fine-scale (atomistic), mesoscale, and continuum models of highly coupled reactive transport phenomena. Our team utilizes state-of-the-art petascale computing resources at LLNL to perform simulations with billions of atoms.  This position is in the Reaction Dynamics Group of the Materials Science Division.

In this role you will

  • Contribute to the conception, design, and execution of computational research to address problems in modeling of energetic materials and constituent materials.
  •  Conduct all-atom and dissipative particle dynamics simulations to isolate individual mechanical, thermal, and chemical responses of molecular materials and perform large-scale simulations that capture coupled responses.
  • Interact with theoretical, computational, and experimental staff working to develop multi-physics models of energetic materials.
  • Pursue independent but complementary research interests and interact with a broad range of scientists, both internal and external to the Laboratory.
  • Present formal and informal overviews of research progress at regular meetings.
  • Document research; write and publish papers in peer-reviewed journals, and present results within the DOE community, at working group meetings, and at scientific conferences.
  • Perform other duties as assigned.

Qualifications

  • Ability to secure and maintain a U.S. DOE Q-level security clearance with requires U.S. citizenship.
  • PhD in Materials Science, Mechanical/Chemical Engineering, Chemistry, Physics, or a related discipline.
  • Experience in performing particle-based (all-atom and/or coarse-grain) simulations of crystals and/or polymers utilizing high-performance computing.
  • Experience in conceiving and implementing new methods, models, and/or analysis approaches applied to simulations of material dynamics.
  • Experience with mechanics of materials, as applied to one or more material classes.
  • Familiarity with physically based approaches to constitutive modeling and/or continuum theory and methods.
  •  Proficient verbal and written communication; interpersonal skills as reflected in published peer-reviewed papers, presentations, and/or teaching lectures.
  • Initiative to take on complex problems, with the ability to work both independently and in a collaborative, multidisciplinary team environment.

Qualifications we desire

  • Experience with modeling of energetic materials, polymers, shock physics, and out-of-equilibrium processes.
  • Experience in multi-scale simulation methodologies and coarse-grain simulations with dissipative particle dynamics or related techniques.
  • Experience in connecting atomistic/mesoscale simulation results to experiments and to continuum-based models and in machine learning techniques to analyze large datasets. 

Additional Information

All your information will be kept confidential according to EEO guidelines.

Position Information

This is a Postdoctoral appointment with the possibility of extension to a maximum of three years.  Eligible candidates are those who have been awarded a PhD at time of hire date.

Why Lawrence Livermore National Laboratory?

  • Included in 2022 Best Places to Work by Glassdoor!
  • Work for a premier innovative national Laboratory
  • Comprehensive Benefits Package
  • Flexible schedules (*depending on project needs)
  • Collaborative, creative, inclusive, and fun team environment

Learn more about our company, selection process, position types and security clearances by visiting our Career site

COVID-19 Vaccination Mandate

LLNL demonstrates its commitment to public safety by requiring that all new Laboratory employees be immunized against COVID-19 unless granted an accommodation under applicable state or federal law. This requirement will apply to all new hires including those who will be working on site, as well as those who will be teleworking.

Security Clearance

This position requires a Department of Energy (DOE) Q-level clearance.  If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. In addition, all L or Q cleared employees are subject to random drug testing.  Q-level clearance requires U.S. citizenship.  For additional information, please see DOE Order 472.2

Pre-Employment Drug Test

External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

Equal Employment Opportunity

LLNL is an affirmative action and equal opportunity employer that values and hires a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.

If you need assistance and/or a reasonable accommodation during the application or the recruiting process, please submit a request via our online form

California Privacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.

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