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group supports the energy reliability and prosperity mission of the Energy Department (DOE) through transformative science and technology solutions, including research supporting the Office of
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. Contribute to the development of scalable, explainable, and uncertainty-aware AI methods that enhance model robustness, reliability, and scientific discovery. Publish research findings in high
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, infrastructure resilience, and technologies that improve the reliability and performance of energy systems to meet DOE’s energy affordability and resiliency goals. We are seeking a Postdoctoral Research
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, reliability, and autonomy Design and implement advanced control strategies (e.g., model predictive control, adaptive control, feedback/feedforward control, ML-based controls) for thermal system
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workflows. Plan and conduct experiments on physical robotic systems. Establish quantitative measures for localization drift, mapping accuracy, and navigation reliability. Publish results in peer-reviewed
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manufacturing processes Understanding relationships between manufacturing intent, machine behavior, and part performance Optimization of manufacturing processes for improved throughput, reliability, and quality
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operators, national laboratories, universities, and industry partners. Evaluate impacts on energy efficiency, mobility, reliability, and resilience at the vehicle, corridor, and network levels. Produce