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    Target Phenomenology Modeling and Simulation for Munition Sensors

    AFRL seeks research to improve modeling & simulation of target phenomenology for munition sensors, focusing on real-time, high-fidelity electro-optical & RF environments.

    This grant is no longer accepting proposals

    NRC Research Associateship Programs has archived this opportunity.

    Funder: NRC Research Associateship Programs

    Due Dates: May 1, 2025 (Application Deadline)

    Funding Amounts: Base stipend approximately $95,000 plus $5,000 travel allowance; experience-based supplements available; typical tenure 2-3 years.

    Summary: Supports postdoctoral and senior researchers to advance phenomenology modeling and simulation of target scenes for munition sensors, focusing on real-time, high-fidelity electro-optical and RF environments.

    Key Information: Open to U.S. citizens; requires Ph.D. prior to tenure; relocation and health insurance benefits included; application requires contacting Research Adviser before applying.


    Description

    The Air Force Research Laboratory (AFRL) Munitions Directorate, through the NRC Research Associateship Programs, invites applications for research focused on advancing phenomenology modeling and scene emulation to evaluate imaging sensor responses. The goal is to improve simulation capabilities in radiometric, spatial, and temporal fidelity across diverse operational scenarios for Air Force systems.

    Research areas of interest include:

    • Application of advanced parallel computing architectures to physical models for real-time sensor data rates.
    • High-fidelity modeling of complex electro-optical and radio frequency (RF) environments.
    • Modeling complex environments involving large networks of sensors.
    • Development of hardware-in-the-loop target scene generators, such as photonic sources for high-resolution in-band scene emulation.
    • Reconfigurable techniques for real-time emulation of RF signal returns.
    • Technologies involving infrared light-emitting diode (IRLED) arrays, high-resolution spatial light modulators, MEMS structures for emissive sources.
    • Panoramic distributed sources for immersive simulation of biomimetic unmanned aerial vehicles (UAVs).
    • Software-defined radio techniques for RF target simulators.

    The research aims to advance sensor testing technologies applicable in both digital and hardware-in-the-loop simulation environments.

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