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Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Qualifications Experience with active learning, Bayesian optimization, adaptive experimental design, reinforcement learning
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continual learning, active learning, reinforcement learning, closed-loop learning, or human-in-the-loop AI workflows. Experience with agentic AI frameworks, tool-using LLMs, workflow orchestration, AI
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reinforcement learning Experience with high-performance computing, physics-based simulations, and multimodal data workflows Demonstrated ability to train and deploy AI/ML models using simulated and experimental
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. Experience with Bayesian methods, graph/network analytics, reinforcement learning, or other advanced AI approaches relevant to industrial systems. Experience with geospatial analysis, spatial data integration