75 ability-"https:"-"https:"-"https:" "CNRS" Postdoctoral positions at Oak Ridge National Laboratory
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Research Associate to develop, scale, and apply artificial intelligence (AI) and deep learning (DL) models for power grid systems. The successful candidate will contribute to scalable AI workflows for grid
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implementing signal processing techniques. Experience working with benchtop instrumentation, including power supplies, oscilloscopes, optical spectrum analyzers, etc. Experience working at or collaboration with
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with the ability to work independently and to participate creatively in collaborative teams across the laboratory. Ability to function well in a fast-paced research environment, set priorities
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. Conduct power profiling, energy-per-inference measurements, and latency benchmarking on physical edge hardware platforms. Build strong collaborations within ORNL and with the neuromorphic computing and
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Model, working closely with the experimental team to understand this device’s PMI physics and optimize performance of the device in its upcoming campaigns. The position resides in the Power Exhaust and
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-reviewed journals and presentations at scientific conferences. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in
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record of productive and creative research as demonstrated by publications in peer-reviewed journals, patents or commercial products. Excellent written and oral communication skills and the ability
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communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory. Ability to function well in a fast-paced research
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and cryo systems. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across
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, Environmental Engineering, Sustainability, Business, or a related discipline obtained within the last five years. Demonstrated ability to work safely and effectively in a multidisciplinary R&D environment