12 electrical-machine-"https:" "https:" "https:" "https:" PhD scholarships at National Research Council Canada
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applications for machine learning. Technology Assessment: Evaluate emerging technologies, instrumentation devices and other tools related to power electronics for electric vehicles applications. Collaboration
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innovation, and helping Canadian businesses develop leading-edge technologies for civilian and military use. With expertise across fields such as transportation, quantum science, medical countermeasures and
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be given further consideration as candidates: Education Ph.D. in Electrical Engineering, Physics, Photonics, Optical Engineering, or a closely related field. As part of the RA Program you must have
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collaboration with internal and external partners, predictive models including machine learning (ML), materials thermodynamics, etc. for high-throughput identification and screening of advanced materials for gas
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Electrical Engineering, Computer Engineering, Physics, or a related field with specialization in Radio Frequency (RF) systems, Electromagnetics, Signal Processing, or Spectrum Operations; Master’s degree in
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, accelerating research and innovation, and helping Canadian businesses develop leading-edge technologies for civilian and military use. With expertise across fields such as transportation, quantum science
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of machine learning / AI methods and their applications to experimental data; Knowledge of data science (statistics and quality control) as it relates to experimental data and ability to automate data storage
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of the following criteria: Technical competencies Knowledge of machine learning / AI methods and their applications to experimental data; Knowledge of data science (statistics and quality control) as it relates
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computer.
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computer.