Post-doctoral Fellow in AI & Navigation Algorithms

We are seeking highly motivated, dynamic, and academically outstanding Post-doctoral Fellow(s) to join our interdisciplinary team. This role focuses on the research and development of AI algorithms and navigation systems for next-generation construction robotics. Key Responsibilities - Conduct innovative research in AI algorithms (e.g., computer vision, machine learning, reinforcement learning) and navigation systems (e.g., SLAM, path planning, multi-robot coordination) tailored for construction robotics applications. - Design, develop, and prototype robotic systems and algorithms for real-world deployment in dynamic and unstructured construction environments. - Collaborate closely with academic and industry partners to translate research into practical solutions and demonstratable prototypes. - Publish high-impact research in top-tier journals and conferences, and actively participate in knowledge dissemination and grant writing. Qualifications - A Ph.D. in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a closely related field. - Strong background in AI/ML methods and/or robotic navigation, perception, or control. - Hands-on experience with robotic systems, simulators (e.g., ROS/ROS2, Gazebo), and programming (Python, C++). - Proven track record of research excellence through publications in relevant venues. - Excellent communication skills and ability to work effectively in a collaborative, multidisciplinary team. - Self-driven, curious, and eager to tackle open-ended challenges in robotics and AI.

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