Posted:
1/15/2026, 6:42:35 AM
Location(s):
Golden, Colorado, United States ⋅ Colorado, United States
Experience Level(s):
Internship
Field(s):
AI & Machine Learning
Workplace Type:
Remote
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Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.
At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.
The Computational Modeling group in the BEST directorate at the National Laboratory of the Rockies (NLR) is seeking an summer undergraduate or post-undergraduate research intern to perform computational modeling and data analysis to enable optimization and scale-up of catalytic bioenergy processes.
The intern will work closely with other computational scientists and experimentalists to perform, analyze, and validate simulations of biomass and other feedstocks undergoing catalytic and thermochemical conversion processes using process scale models.
Responsibilities include:
The successful candidate will:
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* Must meet educational requirements prior to employment start date.
Current junior or senior level student or recent graduate of a bachelor’s degree in Computer Science, Chemical Engineering, or a related field
Familiarity with Linux environments and high-performance computing
Knowledge of or experience using FEM and/or FVM software including OpenFOAM, MFIX, COMSOL, Fluent, or similar (CFD packages)
Knowledge of or experience with performing and analyzing reactor-scale simulations
Knowledge of or experience with catalytic processes (modeling or experimental)
Knowledge/experience with machine learning i.e. tensor flow/PyTorch
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The anticipated closing window for application submission is up to 30 days and may be extended as needed.
NLR takes into consideration a candidate’s education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee’s salary history will not be used in compensation decisions.
* Based on eligibility rules
NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.
If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.
Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.
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All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.
Website: https://www.nrel.gov/
Headquarter Location: Golden, Colorado, United States
Employee Count: 1001-5000
Year Founded: 1977
IPO Status: Private
Last Funding Type: Grant
Industries: Clean Energy ⋅ CleanTech ⋅ Energy ⋅ Renewable Energy