at National Renewable Energy Laboratory
Full Time.
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Join the National Renewable Energy Laboratory (NREL), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NREL 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 NREL, 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.
Learn about NREL’s critical objectives: NREL's Mission and Vision.
NREL is seeking a postdoc to design, train, and analyze the AI/ML and control algorithms for hybrid energy systems including industrial systems, building controls, and advanced energy systems. This will feature integration of technologies such as across generation, storage, and the grid. The postdoc will develop novel AI/ML architectures, training methods and operational strategies for hybrid systems. The researcher will need to deploy scalable strategies for varying hybrid plant sizes in real-time. The researcher will use a variety of simulation tools including, HOPP (Hybrid Optimization and Performance Platform), PSCAD, Simulink, SAM (System Advisory Model), and OpenDSS (an electric power distribution system simulator).
This researcher is expected to demonstrate a broad understanding and wide application of engineering principles, theories and concepts as well as general knowledge of hybrid energy related disciplines and applications. The researcher will use a combination of conventional control methods (e.g. model predictive control) and AI/ML methods such as reinforcement learning, differentiable optimization, or differentiable predictive control. The researcher will work with a variety of customers including federal, state, and industry partners. They will also work collaboratively with other national laboratories, industry and the international community and execute hybrid energy related engineering projects worldwide.
The successful candidate will have excellent writing, interpersonal and communication skills. The candidate will be expected to help publish results in technical journals/conference proceedings and present work at conferences, symposia, and sponsor review meetings. They will also be expected to support the development of new work proposals, preparations, and reviews.
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* Must meet educational requirements prior to employment start date.
The preferred candidate will have experience with wind-based hybrid energy system design and optimization/control using conventional and AI/ML approaches. The preferred candidate will have experience with AI/ML modeling tools e.g. PyTorch, etc. and have experience with the FORTRAN, C++ and Python programming languages and be comfortable working in high performance computing environments.
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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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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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Yearly based
CO - Boulder, United States
