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 looking for individuals that demonstrate an understanding of working in partnership with team peers who engage advocate and contribute to building an inclusive culture and provide expertise to solve challenging problems.

Job Description

We have an opening for a Postdoctoral Researcher in the area of atomistic simulations and machine learning for materials aging and compatibility. You will use atomistic simulations to probe origins of high strain rate response in polymer materials and also apply machine learning on diverse material characterization data to predict relevant performance metrics and how they change with material aging. The selected candidate will collaborate with a multidisciplinary team comprised of computer scientists materials scientists engineers and chemists. This position is in the Reaction Dynamics group of the Materials Science Division.

Note: This is a two-year Postdoctoral appointment with the possibility of extension to a maximum of three years.

In this roleyou will

• Perform and analyze atomistic simulations to probe microscopic origins of high strain rate response in polymeric materials
• Collaborate with magnetohydrodynamics modelers to develop improved materials strength models from resulting data
• Leverage machine learning and statistical techniques (ML) to determine relationships between material properties performance and aging
• Actively pursue new ways of applying ML to chemistry and materials science to meet sponsor needs in appropriate national security areas
• Contribute to the conception design and execution of research related to the study of materials aging compatibility and performance
• 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 with requires U.S. citizenship
• PhD in Chemistry Physics Chemical Engineering Materials Science or a related field
• Experience running and analyzing molecular dynamics or Monte Carlo simulations of conformationally complex materials (e.g. polymers)
• Experience with large-scale simulations in high-performance computing environments using software packages such as LAMMPS GROMACS NAMD or similar codes.
• Proficient with Python or similar scripting language
• Proficient verbal and written communication skills as reflected in effective presentations at seminars meetings and/or teaching lectures
• Self-motivated and excellent interpersonal skills with desire and ability to work in a collaborative multidisciplinary team environment

Qualifications We Desire

• Experience with non-equilibrium simulations
• Experience with electronic structure calculations using packages such as Gaussian NWChem VASP or similar codes. Experience applying machine learning methods for problems in chemistry or materials science
• Ability to develop independent research projects through publication of peer-reviewed literature.

Additional Information

Why Lawrence Livermore National Laboratory?

• Included in 2020 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 Careersite.

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
If you are selected wewill initiate a Federal background investigation to determine if youmeet 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. If you hold multiple citizenships (U.S. and another country) you may be required to renounce your non-U.S. citizenship before a DOE L or Q clearance will be processed/granted.For additional information please see DOE Order 472.2.

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.

CaliforniaPrivacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitlesjob 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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