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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 Sciences Center (CSC) is seeking a researcher within the AI, Learning and Intelligent Systems (ALIS) group with a demonstrated track record of work at the intersection of AI and physical sciences. The researcher should be dynamic, motivated, and have a strong interest in advancing energy innovation at NLR.
In the CSC, we integrate discovery science, engineering, and mission delivery to translate breakthrough research into operational capabilities, with core strengths in high‑performance computing, AI/ML, modeling and simulation, and visualization. We steward state‑of‑the‑art supercomputing and data facilities, secure research environments (including classified spaces), and specialized testbeds that enable end‑to‑end development and red‑team evaluation. NLR collaborates across DOE program offices and with the defense and intelligence communities, other federal agencies, universities, and industry through public–private partnerships and technology transition pathways, while fostering a culture of scientific excellence, operational rigor, and responsible research.
We are seeking a researcher working at the intersection of machine learning and the physical sciences to develop AI-driven solutions for complex energy and environmental systems. This role emphasizes both technical depth and scientific leadership, with opportunities to shape new research directions and contribute to high-impact proposals.
Key responsibilities include:
Candidates should have a strong technical background, good work ethic, experience in leadership and mentorship, and be comfortable learning and applying new technologies, as the role will include self-starting and performing technical tasks independently. The role also requires collaboration and effective communication with peers, mentors, and team members. The successful candidate will not shy away from tackling challenges, but rather, demonstrate eagerness to engineer creative solutions. In this vein, the candidate should have a high degree of curiosity, excitement to work as a team, and ability to adapt to needs of differing projects and challenges by gaining and utilizing new skills in support of research goals.
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* Must meet educational requirements prior to employment start date.
Demonstrated programming experience in C/C++, Java, Python, and using ML frameworks such as Pytorch and Tensorflow
Research experience in foundation models and/or large language models and/or agentic AI frameworks
Experience with writing proposals for research funding
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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.
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