Computational Materials Scientist

Computational Materials Scientist University of Colorado Boulder - 3.9 Boulder, CO Job Details Full-time $60,000 - $70,000 a year 1 day ago Benefits Health insurance Dental insurance Tuition reimbursement Paid time off Retirement plan Qualifications High-performance computing clusters

UNIX Doctor of Philosophy Full Job Description Requisition Number:

72186

Location:

Boulder, Colorado City Boulder State Colorado Employment Type:

Research Faculty Schedule:

Full-Time Posting Close Date:

29-May-2026

Date Posted:

21-May-2026 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. Who We Are 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 greenematerials.com for more information. What Your Key Responsibilities Will Be 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 What We Can Offer The salary range for this position is $60,000 - $70,000 annually. Benefits 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. Be Statements Be curious. Be game-changing. Be Boulder. What We Require PhD in Mechanical Engineering, Chemical Engineering, Materials Science, or a related field What You Will Need 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 Special Instructions To apply, please submit the following materials as individual files: Cover Letter . Resume/CV . (Optional)

Transcripts/Proof of PhD :

If you are selected as the finalist, your degree will be verified by the CU Boulder Campus Human Resources department using an approved online vendor. If your degree was obtained outside of the United States, please submit an English-translated version (if applicable) as an Optional attachment. During the application, process you will be asked to provide the name and email address for one reference, from whom we will request a confidential letter of recommendation immediately following the submission of your complete application. For full consideration, please apply by May 29, 2026 .

Note:

Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs. In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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