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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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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 inverse photonic design, machine-learning (adjoint or topology optimization), or other advancing design methodologies. Ability to design and model active photonic devices (MEMS, electro-optic or thermo
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considered. Education related to Artificial Intelligence (AI), robotics programming, computer vision, Design for Manufacturing and Assembly (DfMA), or life cycle environmental/cost assessment is considered
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helping Canadian businesses develop leading-edge technologies for civilian and military use. With expertise across fields such as transportation, quantum science, medical countermeasures and advanced
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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