NREL Researcher: Artificial Intelligence for Energy Systems in Golden, Colorado
Researcher: Artificial Intelligence for Energy Systems
CO - Golden
Limited Term (Fixed Term)
Hours Per Week
The Complex Systems Simulation and Optimization Group in the NREL Computational Science Center has an opening for a part-time researcher in artificial intelligence (AI) for energy systems, with special emphasis on deep reinforcement learning for AI control. Control/sequential decision problems arise in a variety of areas of renewable energy research including power system planning and management, wind farm optimization, battery management, building energy management, transportation, etc. The successful candidate will collaborate to develop, adapt, improve, and scale cutting edge AI methods to real world projects in support of NREL and EERE mission and goals. We are looking for a dynamic, motivated researcher with a strong technical background and an interest in the mission of NREL.
The successful candidate will collaborate with NREL staff and researchers, other national labs, and universities on efforts to develop and apply AI at scale to real-world problems in renewable energy research, with specific emphasis on modernization of the nation’s grid, building, and transportation infrastructure and operation to support the 100% renewable energy scenario. In particular, the candidate will participate in a large interdisciplinary effort to establish the foundations of so-called “autonomous energy systems”, in which quasi-independent agents interact to seamlessly integrate and control large numbers of distributed energy resources.
Required Education, Experience, and Skills
Relevant PhD and 4 or more years of experience . Or, relevant Master's Degree and 7 or more years of experience . Or, relevant Bachelor's Degree and 9 or more years of experience . Applies extensive scientific technical expertise, and has full knowledge of other related disciplines. Considered a technical resource. Demonstrates leadership in several areas of team, task or project lead responsibilities. Demonstrated experience in management of projects. Excellent technical writing, interpersonal and communication skills.
Expertise in Markov Decision Processes, deep learning (neural networks, including knowledge of core mathematical underpinnings), reinforcement learning (esp., for continuous and/or large state-action spaces).
Knowledge in related AI concepts, including, but not limited to: Monte Carlo Tree Search, policy gradients, actor-critic methods, model-based acceleration, generative adversarial networks, trust region policy optimization, guided policy search.
Understanding of classical control theory, model predictive control, dynamic programming.
Experience with game theory, complex systems theory, agent-based learning.
Strong background in mathematics, statistics, and probability.
Strong background in physics and engineering, esp. of power systems, grid-integrated buildings, and/or transportation systems.
Substantial programming skills, especially experience using deep learning frameworks (e.g. TensorFlow) on high performance computing/GPU platforms.
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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.
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