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discipline. Expertise in one or more of the following: cyber-physical systems security, advanced manufacturing technologies and processes, control systems, sensors, micro-controllers, and embedded devices
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sensor data in a materials science context. An excellent record of productive and creative research demonstrated by publications in peer-reviewed journal papers. Excellent written and oral
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manufacturing datasets, including sensor streams, in-process signals, post-process characterization data, simulation outputs, and digital twin data. Develop, integrate, and evaluate AI/ML models for anomaly
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manufacturing datasets, including sensor streams, in-process signals, post-process characterization data, simulation outputs, and digital twin data. Design and implement scalable data engineering pipelines
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interact closely with industry partners. These engagements will play a vital role in ensuring success of programs and the adoption by project sponsors, and in developing your network across academia and