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Participation Program at the U.S. Department of Defense . Qualifications The ideal candidate will have a doctoral degree in Geospatial Engineering, Geographic Information Systems, Artificial Intelligence
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advanced methods to generate insight and reduce burden (Analytics and Artificial Intelligence). Creating trusted, ready-to-use data (Data Management). Equipping staff to work independently with data (Data
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to the continent, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including artificial intelligence (AI) and machine learning, to help
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, evaluating performance and resilience of controllers, cyber-physical system modeling and state estimation, and anomaly detection techniques using phasor measurement unit data and machine learning/artificial
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of knowledge through formal conference and journal submissions. Finally, the opportunity will need to support demonstrations in simulation and on live systems. Qualifications: PhD in Artificial Intelligence
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mechanics; (5) Model verification, validation, and uncertainty quantification; (6) Artificial intelligence based cooperative protection network for maximum survivability and minimum collateral damages