LLNL

Computational Modeling - Postdoctoral Research Staff Member

Livermore, us Full-time Hybrid
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Job Description

We have an opening for a  Postdoctoral Researcher  in the areas of atomistic and multiscale modeling to optimize metal joining in alloyed systems. The overarching goal of this project is to develop an integrated simulation-experiment workflow to maximize the utility of lab-scale tests by elucidating the fundamental scientific principles governing metal part joining. You will actively participate in the development of Machine-learning interatomic potentials (MLIP) for large-scale atomistic modeling with quantum-mechanical accuracy for use in Grand Canonical grain boundary interface searches and the determination of subsequent interfacial properties. This work will occur in conjunction with mesoscale modeling and experimental teams to determine the effects of interfacial defects, impurities, phase transformations, and transient liquid phases on joining strength. The position is in the Materials Dynamics and Kinetics group of the Materials Science Division in the Physical & Life Sciences Directorate, supporting the Energetic Materials Center (EMC). Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.  You will Perform and analyze first principles-based simulations (e.g., DFT, DFTB, etc.) to generate reference and validation data. Develop GPU-enabled MLIP models for complex intermetallic and alloyed systems for use in grain boundary and interface modeling. Provide inputs for mesoscale and thermodynamic modeling approaches, including mass transport properties and interfacial energies. Development and maintenance of our advanced atomistic simulation codes for interatomic model optimization and simulation. Aid in maintaining an organized and accessible materials data base for ML-driven experimental predictions. Document research; write and publish papers in peer-reviewed journals, and present results within the DOE community, at working group meetings, and at conferences. Pursue independent but complementary research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory. Perform other duties as assigned.

Frequently Asked Questions

What does the Computational Modeling - Postdoctoral Research Staff Member role at LLNL involve?

The Computational Modeling - Postdoctoral Research Staff Member position at LLNL in Livermore, us is a full-time role. We have an opening for a&xa0; Postdoctoral Researcher&xa0; in the areas of atomistic and multiscale modeling to optimize metal joining in alloyed systems. The overarching goal of this project is to develop an integrated simulation-experiment workflow to maximize the utility of lab-scale tests by elucidating the fundamental scientific principles governing metal part joining. You will actively participate in the development of Machine-learning interatomic potentials (MLIP) for large-scale atomistic modeling with quantum-mechanical accuracy for use in Grand Canonical grain boundary interface searches and the determination of subsequent interfacial properties.

What skills are required for Computational Modeling - Postdoctoral Research Staff Member at LLNL?

Please refer to the full job description for required skills and qualifications.

What is the salary for Computational Modeling - Postdoctoral Research Staff Member at LLNL?

The salary for this position is not publicly listed. You can negotiate during the interview process. Check Glassdoor or Levels.fyi for estimates.

Is the Computational Modeling - Postdoctoral Research Staff Member position at LLNL remote or on-site?

This position is Hybrid. Expect a combination of office and remote work, typically based in Livermore, us.

How do I apply for Computational Modeling - Postdoctoral Research Staff Member at LLNL?

You can apply for this position directly through the employer's careers page. Click the 'Apply Now' button on this page to be redirected to the original listing. Make sure your resume is ATS-optimized. Use SpotChange's free ATS test to check.

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About This Role

Computational Modeling - Postdoctoral Research Staff Member at LLNL is a full-time other position in Livermore, us. Education: Doctorate preferred. Experience: 7+ years.

This role is classified as hybrid and is suitable for staff-level professionals. Ghost Score 5/100 (Fresh) indicates this listing is very likely active and recently refreshed.

To apply, visit the official application page through the Apply Now button above. SpotChange Jobs provides AI-powered career tools including resume optimization, ATS testing, interview preparation, and salary negotiation assistance.