Materials Microstructure Modeler - Postdoctoral Researcher

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We have an opening for a Material Microstructure Modeler - Postdoctoral Researcher to conduct research in the analysis of microstructures of energetic materials. You will actively participate in a research group of material scientists and computational modelers and use cutting-edge AI/ML tools to develop summary features, decipher and quantify age-related changes, augment database with synthetic structures, perform grain-scale simulations, create surrogate models, and build process-structure-property-performance correlations. This position is in the Reaction Dynamics Group within the Energetic Materials & Design (EMD) section of the Materials Science Division, supporting the Energetic Materials Center (EMC).

This position requires full-time on-site presence due to the nature of the work.

You will

• Contribute to the conception, design, and execution of computational modeling research to address defined problems involving energetic microstructures.
• Collaborate with experimentalists and modelers to tackle complex multiscale problems in energetics.
• Pursue independent but complementary research interests and interact with a broad spectrum 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 conferences.
• Perform other duties as assigned.

• Ability to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. Citizenship.
• Ph.D. in Materials Science, Mechanical Engineering, Chemistry, Physics or a related field.
• Experience in visualization, characterization, & analysis of heterogeneous microstructure with defects.
• Experience with AI/ML methods of generating synthetic microstructures.
• Experience simulating shocks in microstructures with defects.
• Proficient verbal and written communication skills necessary to work in a multidisciplinary team environment, author technical and scientific reports and publications, and deliver scientific presentations
• Initiative and interpersonal skills with the desire and ability to work in a collaborative, multidisciplinary team environment.

Qualifications We Desire

• Experience with energetic material microstructures.
• Experience using diffusion or GAN AI techniques for synthetic microstructure generation with defects.
• Experience working in GPU- and Linux-based high performance computing environments.

Pay Range

$123,048 Annually

Please note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay including education, experience, the external labor market, and internal equity.

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Position Information

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

Why Lawrence Livermore National Laboratory?

• Included in 2026Best Places to Work by Glassdoor!
• FlexibleBenefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
• Our values - visithttps://www.llnl.gov/inclusion/our-values

Security Clearance

This position requires a Department of Energy (DOE) Q-level clearance.If you are selected, wewill initiate a Federal background investigation to determine if youmeet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.

Pre-Employment Drug Test

External applicant(s) selected for this position must 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.

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