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advanced control strategies (e.g., model predictive control, adaptive control, feedback/feedforward control, ML-based controls) for thermal system optimization Integrate real-time sensor data and telemetry
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be expected to model prototypes of the fiber optic based sensors using standard Multiphysics software, perform out-of pile laboratory testing of the instruments in representative environments, and
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Requisition Id 17142 Overview: We are seeking a Postdoctoral Research Associate who will focus on urban-scale energy modeling. This position resides in the Grid Interactive Control Group in
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the computational foundations of probabilistic programming, such as automatic differentiation, tensor libraries (PyTensor, JAX), gradient-based samplers, or model transpilation and compilation. Experience with
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for situational awareness, dynamic modeling, and control decisions. Design reliable timing and synchronization architectures to ensure distributed grid-edge and substation measurements are time consistent and model
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-based platforms. Build and maintain dashboards, reports, and data models to support analytics and operational insights. Develop, maintain, and support Oracle APEX and other custom solutions, including
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and data pipelines, or human-in-the-loop control of automated campaigns. Demonstrated ability to rapidly adopt emerging technologies, including LLM-based and agentic tooling. Outstanding communication
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models, and hybrid deployments spanning on-premises HPC resources, controlled networks, and approved cloud services—ensuring these systems meet ORNL’s requirements for scale, security, reliability, and
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Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Design and install image-based and other sensing systems Develop data acquisition software for sensing systems Maintain and upgrade
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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