Materials Microstructure Modeler – Postdoctoral Researcher

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.

Qualifications :

• 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

$123048 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.

Additional Information :

#LI-Onsite

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

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• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
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  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. Also all L or Q cleared employees are subject to random drug testing.  Q-level clearance requires U.S. citizenship. 

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  Remote Work :

  No

  
  

  Employment Type :

  Full-time