Postdoc: Computational Materials Design & ICME Innovation

Lawrence Livermore National Laboratory; Livermore (CA); Presencial; USD 111.000 - 135.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Relocation Assistance

Flexible schedules

Education Reimbursement Program

401(k)

Descripción de la vacante

Lawrence Livermore National Laboratory (LLNL) seeks a Postdoctoral Researcher in Livermore, CA to advance computational materials science for discovering new structural alloys for extreme environments. You will develop multicomponent thermodynamic databases and integrate ICME models into LLNL’s Materials Acceleration Platform on HPC.

The role emphasizes collaboration, software development, and dissemination of results through journals and conferences.

Formación

• PhD in materials science, metallurgy, condensed matter physics, applied math, or closely related field.
• Experience in CALPHAD, ICME, UQ, and design of experiments.
• Ability to independently develop scientific research software.

Responsabilidades

• Independently develop multicomponent thermodynamic and kinetic databases for inorganic systems.
• Incorporate ICME microstructure evolution models and property predictions into LLNL’s Materials Acceleration Platform.
• Develop uncertainty quantification and propagation methods into ICME approaches.
• Interface with experimentalists in design of experiment and material development campaigns.
• Publish results in peer-reviewed journals and present at conferences.

Conocimientos

CALPHAD

ICME

uncertainty quantification

design of experiments

multicomponent thermodynamics

machine learning surrogates

Educación

PhD in materials science

Herramientas

Thermo-Calc

Pandat

FactSage

PyCalphad

Thermochimica

OpenCalphad

Descripción del empleo

Lawrence Livermore National Laboratory (LLNL) seeks a Postdoctoral Researcher in Livermore, CA to advance computational materials science for discovering new structural alloys for extreme environments. You will develop multicomponent thermodynamic databases and integrate ICME models into LLNL’s Materials Acceleration Platform on HPC.

The role emphasizes collaboration, software development, and dissemination of results through journals and conferences.