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National Renewable Energy Laboratory Researcher - Applied Mathematics and Machine Learning For Clean Energy in Golden, Colorado

Posting Title

Researcher - Applied Mathematics and Machine Learning For Clean Energy



CO - Golden


Position Type



Hours Per Week



Job Description

The Complex Systems Simulation and Optimization (CSSO) group within NREL's Computational Science Center has an opening for a full-time researcher in applied mathematics for energy systems, with special emphasis on scientific machine learning and uncertainty quantification. The researcher will work on computational problems arising in a variety of renewable energy applications, such as wind energy, biofuels, and power systems, that are characterized by high dimensional uncertainty, multiple model fidelities, and opportunities to learn data-driven insights and model improvements. The researcher will be expected to provide technical expertise in the design, implementation, and execution of cutting edge mathematics, algorithms, and software related to physics-informed machine learning, multifidelity uncertainty quantification, and other ‘outer loop’ problems such as optimization, sensitivity analysis and dimension reduction.

We are looking for a dynamic, motivated researcher with a strong technical background and an interest in the mission of NREL who can help advance the CSSO group’s strategic emphasis on high performance computing, computational science and applied mathematics. The successful candidate will collaborate with NREL staff and researchers, other national labs, and universities on efforts to develop and apply artificial intelligence and uncertainty quantification techniques at scale to real-world problems in renewable energy research.

Job Duties and Responsibilities

  • Conduct independent and collaborative research in developing and implementing emerging scientific machine learning frameworks for energy systems applications, particularly relating to adversarial training techniques and invertible network architectures.

  • Conduct independent and collaborative research on advanced uncertainty quantification techniques for high dimensional energy systems using multifidelity approaches, advanced sampling techniques, gradient-based dimension reduction, and surrogate model development.

  • Author, present and assist in the preparation of journal papers, technical reports and conference proceedings on research topics.

  • Work with management and senior research staff to develop funding focused on applied math and advanced modeling in energy systems research.

  • Enable productive use of NREL HPC resources by scientific and engineering staff, particularly with respect to GPU usage for machine learning applications.

  • Mentor undergraduate and graduate interns on related research.


Basic Qualifications

PhD in Mathematics, Engineering or related. Or, Master's Degree in Mathematics, Engineering or related and 3 or more years of experience . Or, Bachelor's Degree in Mathematics, Engineering or related and 5 or more years of experience .


Additional Required Qualifications

Demonstrates complete understanding and wide application of scientific technical procedures, principles, theories and concepts in the field. General knowledge of other related disciplines. Demonstrates leadership in one or more areas of team, task or project lead responsibilities. Demonstrated experience in management of projects. Very good technical writing, interpersonal and communication skills.

Preferred Qualifications

  • Familiarity with physical phenomena arising in renewable energy technologies, e.g. aerodynamics, combustion, battery chemistry, building HVAC systems, etc.

  • Familiarity with control strategies such as reinforcement learning and model predictive control techniques.

  • Ability to quickly adapt to new domains and translate applied math techniques from previous experience to unfamiliar settings.


Submission Guidelines

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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The National Renewable Energy Laboratory (NREL) is a leader in the U.S. Department of Energy’s effort to secure an environmentally and economically sustainable energy future. With locations in Golden and Boulder, Colorado, and a satellite office in Washington, D.C., NREL is the primary laboratory for research, development, and deployment of renewable energy technologies in the United States.

NREL is subject to Department of Energy (DOE) access restrictions. All candidates must be authorized to access the facility per DOE rules and guidance within a reasonable time frame for the specified position in order to be considered for an interview. DOE rules for site access during the interview process are the same regardless of whether the candidate is interviewed on-site, off-site, or via telephone or videoconference. Additionally, DOE contractor employees are prohibited from participating in certain Foreign Government Talent Recruitment Programs (FGTRPs). If a candidate is currently participating in an FGTRP, they will be required to disclose their participation after receiving an offer of employment and may be required to disengage from participation in the FGTRP prior to commencing employment. Any offer of employment is conditional on the ability to obtain work authorization and to be granted access to NREL by the Department of Energy (DOE). We understand that COVID-19 may have caused delays or closures at offices, consulates, and embassies. However, NREL cannot make exceptions to work authorization and access requirements, and exceptions to these requirements are not being made for COVID-19 related delays.

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