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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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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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data analytics, and manufacturing process optimization. Develop and apply models, algorithms, or data analysis workflows to support machining process understanding, machine tool characterization, process
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well as dynamic and transient inverter modeling and different applications of the simulation. Selection will be based on qualifications, relevant experience, skills, and education. You should be highly self
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level for comparison with carbon/water exchange based on eddy flux measurements Use AI/ML data integration, modeling and trait databases to scale up ecophysiological mechanisms of ecosystem water and