Computational Materials Scientist

Job Summary

Professor Samuel Greene is seeking a Postdoctoral Associate to perform atomic‑scale physics‑based simulations of materials for energy storage and conversion. This role will involve combining physics‑based simulations with data‑driven methods, including machine learning, to design new battery electrolyte materials.

CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.

The Greene Group is an interdisciplinary computational materials science group in the Paul M. Rady Department of Mechanical Engineering at CU Boulder. We leverage tools from computational chemistry, materials science, machine learning, and applied math to address pressing challenges related to next‑generation materials. Prof. Greene is committed to creating a supportive and inclusive environment in which all lab members can grow and flourish. Please visit  for more information.

• Develop a research plan related to next‑generation materials for energy storage and conversion
• Perform computational research
• Contribute to a collaborative and supportive lab environment
• Present research findings in group meetings, in peer‑reviewed publications, and/or at conferences

The salary range for this position is $60,000 – $70,000 annually.

At the University of Colorado Boulder, we are committed to supporting the holistic health and well‑being of our employees. Our comprehensive benefits package includes medical, dental, and retirement plans; generous paid time off; tuition assistance for you and your dependents; and an ECO Pass for local transit. As one of Boulder County’s largest employers, CU Boulder offers an inspiring academic community and access to world‑class outdoor recreation.

Explore additional perks and programs through the CU Advantage program.

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• PhD in Mechanical Engineering, Chemical Engineering, Materials Science, or a related field

• Experience with atomic‑scale simulation methods, including density functional theory, Monte Carlo, molecular dynamics, or machine‑learning interatomic potentials
• Experience with Unix systems and high‑performance computing resources