Post Doctoral Associate

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• →Support the PI in launching new interdisciplinary robotics research and educational initiatives in the ECE Department and across the College of Engineering, including foundational program design and curriculum integration.
• →Lead and contribute to research involving AI-powered and AI-enabled robotic systems, including deep reinforcement learning, computer vision, and human-robot interaction.
• →Facilitate strategic collaborations across departments within the College of Engineering and with the UM Miller School of Medicine, particularly in the area of medical robotics for surgical and assistive applications.
• →Assist with setting up the PI’s new research lab, including hardware/software integration, experimental platforms, and safety protocols.
• →Support preparation and submission of competitive grant proposals to federal funding agencies (e.g., NSF, NIH).
• →Mentor and help recruit and train graduate students and undergraduate researchers in robotics, mechatronics, and machine learning.
• →Design and conduct experimental studies involving robotic platforms such as dual-arm manipulators, mobile robots, and wearable/exoskeleton robotic systems.
• →Present research at national and international conferences and co-author peer-reviewed publications in leading robotics and AI venues.

Ph.D. in Electrical and Computer Engineering, Robotics, Mechanical Engineering, or a closely related Engineering field.

Not applicable.

• Extensive experience in robotics system design, real-time control, and embedded systems integration.
• Demonstrated expertise in artificial intelligence, including reinforcement learning, computer vision, and deep neural networks applied to robotics.
• Track record of peer-reviewed publications and active participation in interdisciplinary research projects.
• Experience with grant writing, mentoring students, and collaborative academic or industry research is preferred.

• Strong programming skills (Python, C++, MATLAB) and experience with software tools such as TensorFlow, ROS, Gazebo, and OpenCV.
• Familiarity with robotic hardware platforms (e.g., Kinova robotic arms, UAVs, mobile robots) and real-time operating systems.
• Excellent communication skills and ability to work in cross-functional and interdisciplinary teams.
• Demonstrated initiative, creativity, and problem-solving ability in research and development environments.