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intrusion detection sensors and possibly mobile nodes, and (iv) validation methods for intrusion detection models, systems, and tools. ARL Advisor: Hasan Cam ARL Advisor Email: hasan.cam.civ@army.mil About
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materials is applicable across a wide range of materials science and technology areas. Research opportunities exists for the development of computational methodologies (numerical methods and associated
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approaches; methods to mitigate these effects; modeling of wave propagation and scattering in urban and/or natural complex environments; environmental remote sensing; target remote sensing that incorporates
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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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solutions based on an examination of the problem presented and the current state of the art in various technologies. The successful applicant will have a PhD in Physics or a related discipline with an excess
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dispersion, fuze activation timing, etc. Two categories of research are sought and both will support ongoing development of a software suite for APS modeling and simulations. Research in the first category may
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of powder and single-crystal x-ray/neutron diffraction patterns, including full Reitveld refinements on known/unknown structures. Familiarity with various software packages for analysis of diffraction data
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and experience with measurement and user interface hardware and software integration desired. Computational scientists with experience in the modeling of closed-loop systems are similarly encouraged