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energy goals. ESIA also develops, deploy, and advance grid technologies that ensure a robust and secure U.S. grid transmission and distribution system. We collaborate with government agencies as
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alignment, safety, and reliability frameworks to ensure LLM outputs are accurate, trustworthy, and robust in scientific contexts. Evaluate and benchmark LLM reasoning, cognitive capabilities, and
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optical transition and favorable spin properties of individual solid-date erbium ions (Er3+) to store quantum information necessary for practical, robust, and scalable quantum communication. The focus
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, and networked microgrids. Design and implement reinforcement learning, game-theoretic, or robust decision-making approaches for adaptive control of DER and microgrids under uncertainty and adversarial
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, and contributing to a robust data infrastructure that makes large-scale, multimodal datasets FAIR and AI-ready. You will publish findings in high-impact journals, present at major international
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on developing robust, scalable solutions that are computationally efficient and maintain accuracy within the operational constraints of real-world power systems. Position Requirements Required Skills and
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training or analysis of scaling behavior. Familiarity with challenges such as data heterogeneity, communication efficiency, or system constraints. Exposure to privacy, robustness, or security techniques (e.g
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. Design, implement, and validate experimental setups; conduct synchrotron-based measurements on quantum and energy materials. Build robust data reduction and PDF analysis workflows; document best practices