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the design and operation of next-generation thermal systems, developing strategies to model, optimize, predict, and autonomously control thermal systems behavior in complex systems. The candidate will
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Particle Control (PEPC) group of the Fusion Energy Division at Oak Ridge National Laboratory. The PEPC group performs experimental and modeling work, focused on the boundary region of tokamaks, stellarators
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system models and quantifying uncertainty in their predictions. Conduct fundamental research on the formulation of probabilistic system dynamics models, including knowledge integration, likelihood
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to post-process characterization. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization
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visualizing PSC metrics, PUE, trends, and alerts. Standardize DCIM data models, change records, and quality across sites. Automation, Data Pipelines & Analytics Enhance telemetry collection, health monitoring
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and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization. In this role, you will assist in development and deployment of advanced data management platform
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Requisition Id 16704 Overview: We are seeking a Postdoctoral Research Associate who will focus on AI-enabled plant ecophysiology to improve mechanistic understanding and predictions of ecosystem
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. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization. In this role, you will leverage large
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simulations. Design, develop, and validate physics-informed AI/ML models with features from electronic structure, spectroscopy to control materials growth and emerging functionalities. Develop and train agentic