Materials Microstructure Modeler – Postdoctoral Researcher

LLNL•Livermore, CA

2d•Onsite

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.