Postdoc: Computational Materials Scientist for Alloy Design

Lawrence Livermore National Laboratory; Livermore (CA); On-site; USD 110,743 - 135,352; Full time

Benefits offered by this job

Flexible schedules

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Job summary

Lawrence Livermore National Laboratory seeks a Postdoctoral Researcher in computational materials science, focusing on discovering new structural alloys for extreme environments. The role involves developing thermodynamic databases, integrating ICME models, and applying numerical optimization methods to screen compositions.

Applicants must have a PhD in relevant fields and experience in thermodynamics and modeling techniques. The position offers a competitive salary and the opportunity for a collaborative work environment.

Qualifications

• Ability to secure and maintain a US DOE Q-level security clearance, requiring US citizenship.
• Demonstrated ability to independently develop or make significant contributions to scientific research software.
• Proficient verbal and written communication skills with a strong publication record.

Responsibilities

• Independently develop multicomponent thermodynamic and kinetic databases for inorganic systems.
• Incorporate new ICME microstructure evolution models into LLNL’s Materials Acceleration Platform.
• Develop uncertainty quantification and propagation methods for ICME approaches.

Skills

CALPHAD

ICME

Microstructure and property modeling

Uncertainty quantification and propagation

Alloy design

Design of experiments

Education

PhD in materials science, metallurgy, condensed matter physics, or closely related field

Tools

Thermo‑Calc

Pandat

FactSage

PyCalphad

Thermochimica

OpenCalphad

Job description

Lawrence Livermore National Laboratory seeks a Postdoctoral Researcher in computational materials science, focusing on discovering new structural alloys for extreme environments. The role involves developing thermodynamic databases, integrating ICME models, and applying numerical optimization methods to screen compositions.

Applicants must have a PhD in relevant fields and experience in thermodynamics and modeling techniques. The position offers a competitive salary and the opportunity for a collaborative work environment.