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Field
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expertise and interest in machine learning and computer vision algorithms is necessary, with an emphasis on object tracking, optical flow and sensor fusion Knowledge of rock mechanics, soil mechanics and/or
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candidate will develop theoretical/foundational algorithms in remote sensing and/or sensor development (hardware) utilizing a variety of sensors such as fluorescence, hyperspectral and multispectral optical
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absorption assessment via FDTD using EM field data Detection and localization algorithms of dynamic users using wireless signal parameters and sensor fusion Generation of Digital Twin city model that is able
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for non-terrestrial communication o Model LEO satellite and UAV communication and exposure AI based algorithms to optimize the performance of integrated terrestrial and non-terrestrial networks (coverage
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) environment. This role focuses on developing, implementing, and evaluating ML algorithms and systems, supporting the advancement of capabilities from early-stage concepts to prototype demonstrations
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and project meetings (may include travel). Coordinate with Navy personnel to secure technical data essential for reconstructing at-sea exercises and advancing sonar system algorithms. Liaison with Navy
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areas of computer science and engineering: algorithms, analysis of algorithms, animation & visualization, architecture, artificial intelligence, assistive technology, computer literacy, computer
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to the logistics digital twin. Develop AI algorithms for anomaly detection, delay prediction and internal logistics optimization. Integrate IoT sensors at key points of the logistics and production processes
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. You will develop and lead an independent research programme in one or more of the following areas: Hardware implementation of advanced signal-processing and machine-learning algorithms, including
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navigation sensors and systems. Our mission is to conduct new navigation technology research and development, systems engineering, and provide expert knowledge for our Navy, Army, and other U.S. government