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From day one at NREL, you’ll connect with coworkers driven by the same mission to save the planet. By joining an organization that values a supportive, inclusive, and flexible work environment, you’ll have the opportunity to engage through our ten employee resource groups, numerous employee-driven clubs, and learning and professional development classes.
NREL supports inclusive, diverse, and unbiased hiring practices that promote creativity and innovation. By collaborating with organizations that focus on diverse talent pools, reaching out to underrepresented demographics, and providing an inclusive application and interview process, our Talent Acquisition team aims to hear all voices equally. We strive to attract a highly diverse workforce and create a culture where every employee feels welcomed and respected and they can be their authentic selves.
Our planet needs us! Learn about NREL’s critical objectives, and see how NREL is focused on saving the planet.
We invite all interested candidates to apply for this opportunity. While we recognize that job seekers may hesitate if they don’t meet every requirement, we encourage dedicated individuals who meet all the basic and additional required qualifications of the role to submit an application. We value the opportunity to consider those who believe they have the necessary skills and ambition to succeed at NREL.
The AI, Learning and Intelligent Systems (ALIS) group in the Computational Sciences Center at NREL is looking for a researcher with a demonstrated track record in AI, cybersecurity, and federated learning. The researcher should be dynamic, motivated, and have a strong interest in advancing the renewable energy mission of NREL.
The successful candidate will contribute to existing projects related to enhancing energy system security, safety of foundation models, and privacy challenges in DER systems by supporting NREL’s research in AI trustworthiness, distributed learning, privacy-preserving AI, and cyber resilience. The successful candidate is expected to contribute to program development to secure new funding streams, as well as develop and expand existing collaborations across NREL, the DOE, industry, and academia. The successful candidate will also mentor students and postdocs.
Candidates should have a strong technical background, good work ethic, and be comfortable learning and applying new technologies, keeping pace with research and development, and performing many technical tasks. The role requires collaboration and effective communication with peers, mentors, and team members. The successful candidate should have a high degree of curiosity, excitement to work as part of a diverse team, and the 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 research experience and publication record at leading venues in AI privacy, trustworthiness, and federated learning
· Demonstrated experience in privacy-enhancing technologies, including differential privacy and cryptographic tools (such as homomorphic encryption and zero-knowledge proofs)
· Excellent communication skills and demonstrated interdisciplinary work experience
· Demonstrated experience in leveraging high-performance computing
· 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
· Experience with cybersecurity in power systems
· 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.
NREL 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
NREL 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 NREL, 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 NREL 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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NREL is an Equal Opportunity/Affirmative Action Employer. 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.
EEO is the Law | Pay Transparency Nondiscrimination | Reasonable Accommodations
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.
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