Dislocation Analysis Computational Materials Science – Postdoctoral Researcher

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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Childcare support

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Learning budget

Offered From the posting source checked Jun 20, 2026

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

U.S. benchmark only; posted salary is not compared across countries or currencies.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Dislocation Analysis Computational Materials Science – Postdoctoral Researcher Livermore, CA, United States Company Description: Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. Job Description: We have an opening for a Postdoctoral Researcher in the field of modeling of X-ray scattering for dislocation analysis in metals. You will be an integral member of an interdisciplinary team responsible for conducting and supporting research to model and simulate interactions between high-energy X-rays and crystalline defects in advanced metallic alloy materials. This role includes performing simulations of dislocation networks under various conditions, developing models of X-ray scattering associated with these microstructures, and developing new methods to quantitatively interpret experimental data. This position is in the Metallurgy and Advanced Microscopy group within the Materials Science Division. You will Develop and validate a multiscale simulation framework for virtual X-ray diffraction in plastically deformed alloys. Implement the framework in parallel simulation codes intended to run on LLNL supercomputers. Design and conduct complex molecular and dislocation dynamic simulations to investigate deformation mechanisms in FCC and BCC alloys. Develop a machine-learning based methodology to

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