Mesoscale Modeling - Postdoctoral Researcher

Requirements

• Experience with FORTRAN, C/C++, and parallel computing.
• Experience in theoretical/computational studies of material microstructure evolution involving microelasticity and/or plasticity effects.
• Experience with developing quantitative, parameterized phase-field models for interfacial processes and/or solid-state phase transformations of real materials systems (e.g., polycrystalline materials).
• Pay Range
• $123,048 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.
• All your information will be kept confidential according to EEO guidelines.
• 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?
• Included in 2026 Best Places to Work by Glassdoor!
• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
• Our values - visit https://www.llnl.gov/inclusion/our-values
• Security Clearance
• None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check.
• National Defense Authorization Act (NDAA)
• Pre-Employ

Benefits

Additional Information

We have an opening for a Postdoctoral Researcher to conduct computational research in the area of mesoscopic modeling of interface thermodynamics and kinetics, as well as associated microstructure evolution of materials, focusing on (electro)chemical and/or (electro)chemo-mechanical degradation mechanisms. You will be part of an interdisciplinary team of computational and experimental materials scientists utilizing world class computational and experimental research facilities to study the surfaces, interfaces, and microstructures of materials for structural and/or energy applications. This role will actively participate in the research and development of mesoscale computational models and codes for investigating mechanisms and simulating coupled interfacial processes in materials, including metals and metal oxides. This position is in the Computational Materials Science Group of the Materials Science Division. fundamental and applied research in the thermodynamics and kinetics of surface/interface phenomena and associated microstructure evolution of metals and/or metal oxides. Develop integrated modeling and simulation capabilities for simulating concurrent physical, chemical, and materials kinetic processes in materials. Design and perform systematic computer simulations on LLNL supercomputers to establish the foundational understanding of thermodynamic and kinetic surface/interfacial mechanisms in these materials. Pursue independent but complementary research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory. Collaborate with scientists in multidisciplinary team environment, including experimental and multiscale modeling experts. Document research; publish papers in peer-reviewed journals, and present results within the DOE community and at conferences. Perform other duties as assigned. PhD in materials science, chemical engineering, mechanical engineering, physics, applied mathematics, or related field. Demonstrated broad expertise in surface/interfacial mechanisms and phase transformations, with experience in microstructure-resolved mesoscale modeling of reactive (electro)chemical and/or (electro)chemo-mechanical processes governing degradation and/or performance in metals and/or metal oxides. Experience with the development of phase-field models and the implementation of corresponding numerical methods in computer codes. Experience with numerical methods for solving partial differential equations such as finite difference, finite element, and/or spectral methods. Ability to develop independent research projects demonstrated through publication of peer-reviewed journal articles. Proficient verbal and written communication skills as reflected in effective presentations at seminars, meetings and/or teaching lectures. Initiative and interpersonal skills with desire and ability to work in a collaborative, multidisciplinary team environment.

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