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involves developing numerical modeling techniques to achieve highly optimized, multidisciplinary physical modeling on scalable computer architectures. ARL Advisor: Yong-Le Pan ARL Advisor Email
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background in developing novel analysis techniques from one of the following disciplines: mathematics, statistics, physics, computer science, engineering, biology, psychology and neuroscience. ARL Advisor
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considered. The Associate will pursue well-defined objectives within the broad scope of this program, but should have the ability to do research within a multidisciplinary team that includes collaborators from
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cognitive modeling systems (e.g., ACT-R Soar, EPIC). A strong background in robotics is not required, though learning the robotic control system will be required once the Associate begins the program
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between resolution and time, we aim to leverage the recent explosion in wearable technologies, physiological monitoring, environmental sensing, communications, computing technology, network technologies