Intelligent Systems Postdoctoral Researchers (Hybrid) at Rochester Institute of Technology AEOP Internships and Fellowships in Aberdeen, Maryland

Job Description:

Army Educational Outreach Program (AEOP) Internships and Fellowships provide paid civilian research opportunities for high school through postdoctoral individuals in U.S. Army Research Labs and Centers. Projects focus on the most current and cutting-edge priorities of the Department of Defense.

Seeking Postdoctoral Fellows for the following projects:

Intelligent Systems Research (ALC027)

The Science of Intelligent Systems Division (SISD) has multiple internship opportunities for research on increasing complexity levels, robustness, and resilience of autonomy to enable future unmanned aerial and ground systems to perform semi-autonomous to fully autonomous maneuvers. This includes foundational research on developing improved vehicle perceptual, learning, reasoning, communication, and advanced mobility capabilities. Research in autonomy utilizes continuous experimentation to investigate, assess, and improve advanced algorithms as well as assess ARL autonomy stacks integrated perceptions, processing, and control software modules - for autonomous behavior for various air and ground vehicle platforms. Internship project locations are Robotic Research Collaboration Campus (R2C2) test site at Graces Quarters, Autonomous System Integration Lab at APG, and Emmerman Intelligent Systems Lab at ALC. Internship opportunities are available in the following research areas:
- Hardware/software integration and data generation for perception sensors (integrate sensors onto robot and into autonomy stack, collect data, label data, update algorithms).
- Legged robot controllers investigations in uncertain environment and integrating perception to enable legged robots to reason about the world they move through.
- Autonomy and related technologies to enable BVLOS flight in congested environments including proximity to terrain flights or flying through forest.
- Simulations on integrating autonomy and coupling AI and autonomy for next generation robotics and multi-agent teaming. Evaluate and assess simulations applications to develop autonomous behaviors using reinforcement learning.
- Soft robotics manipulations to overcome inherent limitations of traditional rigid manipulators.
- Experimentally evaluate novel learning-based techniques for control, navigation, perception, and state estimation for ground and/or small aerial robotics
-Research multi-agent coordination and collaboration techniques for small teams of autonomous robots

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