Fusion Materials Computational Materials Science - Postdoctoral Researcher

Fusion Materials Computational Materials Science - Postdoctoral Researcher

Entry Level | Full-time Postdoctoral/Fellowship | Livermore, CA | 01/20/2026 Reference #: REF
7559Z Job Code: PDS.
1 Post-Dr Research Staff 1 Organization:
Physical and Life Sciences Position Type:
Post Doctoral Security Clearance:
None/Position does not require US citizenship (assignments longer than 179 days require a federal background investigation) Drug Test:
Required for external applicant(s) selected for this position (includes testing for use of marijuana) Medical Exam:
Not applicable Apply Now

Join us and make YOUR mark on the World!

Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and diverse perspectives, recognizing their importance to the continued success of the Laboratory’s mission.

Pay

$118,884 Annually

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.

We have an opening for a Computational Materials Science Postdoctoral Researcher to participate in research on the development of refractory high-entropy alloys (RHEAs) for survivability in fusion energy environments. You will be part of an interdisciplinary team focused on designing new alloys with enhanced resistance to radiation‑induced swelling and hardening under fusion conditions that combines multi‑scale modeling, experiments, and AI. To tackle this challenge, you will be a creative force in the development of an advanced multi‑scale modeling framework, integrating First‑Passage Kinetic Monte Carlo (FP‑KMC), on‑lattice KMC, and atomistic methods, aiming to enable atomic‑scale predictions of microstructural evolution in complex alloys under irradiation over reactor‑relevant timescales.

This position is in the Actinides and Lanthanide Science group within the Materials Science Division.

In this roleyou will

• Develop and validate a multiscale simulation framework for radiation‑induced defect evolution in complex alloys, focusing on refractory high entropy alloys (RHEAs).
• Implement the framework in parallel simulation codes intended to run on LLNL supercomputers.
• Integrate FP‑KMC, on‑lattice KMC, and MD methods to achieve atomic‑resolution modeling over extended timescales.
• Parameterize defect migration energies from atomistic simulations and incorporate results into KMC simulations.
• Perform MD simulations to predict primary damage cascades and point defect production rates.
• Analyze simulation outputs to predict macroscopic swelling and strain hardening.
• Interface with experimentalists and AI practitioners to validate models and propose directions for alloys property optimization.
• Work both independently and collaborate with others in a multidisciplinary team environment to accomplish program goals.
• Publish research results in peer‑reviewed scientific journals and present results at external conferences, seminars, and/or technical meetings.
• Perform other duties as assigned.

• PhD in Materials Science, Condensed Matter Physics, Nuclear Engineering, Computational Science, Applied Math, or a closely related field.
• Demonstrated experience in atomistic simulation methods (e.g., Molecular Dynamics, Kinetic Monte Carlo).
• Ability to independently develop massively parallelized codes using C/C++/Python and proficiency in high‑performance computing environments.
• Strong analytical and problem‑solving skills.
• Proficient verbal and written communication skills as reflected in effective presentations at meetings and a demonstrated strong publication record.
• Initiative and…