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methods with optimization and decision-support models. Background in one or more of the following: time-series analysis, neural networks, forecasting, uncertainty quantification, sensitivity analysis
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Postdoctoral Appointee - Superconducting Devices for Multipixel Single-Photon Detection and Multiplexed Readout Argonne National Laboratory invites applications for a postdoctoral research position
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conditions. Develop methods for cyberattack detection, anomaly identification, intrusion-aware control, and resilient system recovery in cyber-physical energy systems, including DER-rich distribution networks
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novel machine learning models—including Physics-Informed Neural Networks (PINNs), variational autoencoders, and geometric deep learning—to fuse multimodal data from diverse experimental probes like Bragg
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diverse data sets, applying advanced analytics, and leveraging ML/AI techniques to detect, quantify, and forecast global risks affecting sourcing strategies. It will also include assessing AI-driven demand