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to protecting soldiers from harm. The approach requires the development of intelligent robots that also have a high degree of autonomy. To accomplish this, ARL has developed a robotic control system that has
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performed in collaboration with other computational and experimental teams within ARL and academia. Qualified candidates should be US Citizens and have received their PhD in Materials Science, Mechanical
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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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multiple time scales across a large group of individuals, and to use these theories to develop novel methods to predict an individual’s future performance. In contrast to previous efforts that made tradeoffs
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knowledge in database design, and should be undergraduate juniors or above in engineering, computer science, physics or a related discipline. All research will be performed at Adelphi Laboratory Center, 2800
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to discover techniques to enable robust, versatile, closed-loop systems that improve performance throughout the sensory-perceptual-motor decision-making cycle by leveraging knowledge of human nervous system
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material response at the nano and microstructural levels during high loading rates. Track and validate multiscale deformation mechanisms in primarily polymeric materials, multilayer polymer composite
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will perform design, fabrication, and testing of the materials and mechanisms. Candidates should have a strong background in mechanical design, fabrication, machining, CAD, and preferably LabVIEW
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the ARL S&T Campaign in the Sciences-for-Lethality with research efforts related to desired effects at standoff ranges for moving targets in access denied environments to improve the performance of future
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: steven.c.hill32.civ@army.mil About CISD The Computational and Information Sciences Directorate (CISD) conducts research in a variety of disciplines relevant to achieving and implementing the so-called digital