Posted: 12-10-2024
Title: Atmospheric Effects for Decision Advantage and Lethality Overmatch
Location: White Sands
Description: These efforts conducts Army-focused environmental security research across multiple temporal operating pictures which feed a cross-echelon situational awareness for command and control decisions. This effort includes research on dynamics and changes in the atmospheric boundary layer in complex Multi-Domain Operations (MDO) environments and conditions (complex terrain/ dense urban and unique or dynamic regions of atmospheric change) with particular emphasis on the atmospheric surface layer and the land- surface processes, which inform Windows of X (mitigating vulnerability, exploiting opportunity, etc) in planning and operations. The effort will also investigate atmospheric effects on multi-modal sensing for detection, localization and tracking to improve accuracy of aided target recognition for air and ground defense in an increasingly uncertain and rapidly changing threat environment.
This effort applies foundational research in atmospheric impacts and effects on DoD systems and operations. Research will employ experimental data collection and model development of Atmospheric Boundary Layer conditions and impact on key systems in achieving freedom of maneuver and lethality overmatch. Focusing research on atmospheric characterization and modeling of complex atmospheric conditions in challenging terrain provides prediction and correction information for developing Army systems for kinetic and non-kinetic collaborative protection, protection and exploitation of electromagnetic spectrum for tactical advantage (to include renewable energy), detection and characterization of threat and toxic industrial aerosol, resilient and robust sensing and counter-sensing for UAVs, and models for UAV flight dynamics and high-speed flight systems operating under extreme conditions.
Requirements: Technology and/or Data Driven mind set – would like programming. CS – Networks, Databases, AI/ML, programming
Level: Multiple Classifications
Recommended degrees: (depends on specific project), Atmospheric Science, Data Science, Computer Science, Most Engineering degrees, Statistical Science.
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