Postdoc: Computational Materials Scientist (ICME/CALPHAD)

LLNL; Livermore (CA); On-site; USD 111,000 - 135,000; Full time

Benefits offered by this job

Flexible schedules

Best Places to Work

Job summary

Lawrence Livermore National Laboratory (LLNL) seeks a Postdoctoral Researcher in computational materials science to discover new structural alloys for extreme environments. You will build thermodynamic/kinetic databases, integrate ICME models, and apply optimization to screen vast phase spaces with MEP tools on LLNL HPC.

You will work in the Actinide and Lanthanide Science group within the Materials Science Division, contribute to publications, and collaborate across disciplines.

Qualifications

• Experience with CALPHAD and microstructure and property modeling.
• Uncertainty quantification and propagation in ICME approaches.
• PhD in materials science, metallurgy, condensed matter physics, applied math, or closely related field.
• Experience with CALPHAD software (Thermo-Calc, Pandat, or OpenCalphad).

Responsibilities

• Independently develop multicomponent thermodynamic and kinetic databases for inorganic systems.
• Incorporate ICME microstructure evolution models and property predictions into LLNL’s framework.
• 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.
• Secure and maintain a U.S. DOE Q‑level clearance (citizenship required).
• Collaborate in a multidisciplinary team to accomplish program goals.

Skills

CALPHAD

ICME

Machine learning

Uncertainty quantification

Thermodynamics

Education

PhD in materials science or related field

Tools

Thermo-Calc

Pandat

OpenCalphad

PyCalphad

Job description

Lawrence Livermore National Laboratory (LLNL) seeks a Postdoctoral Researcher in computational materials science to discover new structural alloys for extreme environments. You will build thermodynamic/kinetic databases, integrate ICME models, and apply optimization to screen vast phase spaces with MEP tools on LLNL HPC.

You will work in the Actinide and Lanthanide Science group within the Materials Science Division, contribute to publications, and collaborate across disciplines.