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Computational Modeling - Postdoctoral Researcher

Entry Level | Full-time
Postdoctoral/Fellowship | livermore, CA | 11/08/2021

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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 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 Computational Modeler – Postdoctoral Researcher to conduct research in polymer rheology. You will actively participate in a research group of material scientists and mechanical engineers optimizing DIW-based additive manufacturing processes at the microscale to create printed materials with desired mechanical and aging properties. Research focus is on simulating the flow of ink in DIW nozzles (shear thinning/banding, particle dispersion, interaction with walls), and the modeling of long-term material degradation for lifetime assessment. This position is in the Computational Chemistry 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 role you will 

  • Contribute to the conception, design, and execution of computational modeling research to address defined problems in polymer and polymer-resin rheology and polymer aging.
  • Collaborate with experimentalists and modelers to tackle complex multiscale, multi-physics problems in polymer science.
  • 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.


  • Ph.D. in Polymer Science, Materials Engineering, Chemical Engineering, or related field.
  • Experience with computer simulation of polymers, either particle-based or continuum methods.
  • Experience with developing multi-scale models (atomistic, mesoscale/bead-spring, continuum) of polymer systems including, for example, melts, thermoplastics, networks, and composite materials.
  • Knowledge of polymer physics, from, for example, extensive coursework in polymer physics and mechanics, and relevant research publications.
  • Advanced written and verbal communication skills necessary to deliver presentations and prepare written reports on time.
  • Initiative and interpersonal skills with the desire and ability to work in a collaborative, multidisciplinary team environment.


Qualifications We Desire

  • Familiarity with LAMMPS.
  • Experience in computing viscoelastic response of polymer systems.
  • Experience working in GPU- and Linux-based HPC environment.

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 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
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.  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

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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