PhD Positions in Human-Robot Interaction, Collaborative Control, and Active Learning at University of Sydney University of Sydney in Australia

The PHERL lab, led by Dr. Ahalya Prabhakar at the University of Sydney's Australian Centre for Robotics (ACFR), is seeking outstanding candidates for open PhD positions. The lab's research focuses on human-robot interaction, collaborative control, and active learning, with an emphasis on both theoretical and algorithmic aspects of human-robot control and learning. Research topics include optimal interface design, real-world deployment, and user studies, with applications spanning collaborative workplace robots, human-swarm interaction, healthcare and assistive robotics, and emergency response.

PhD candidates will join the ACFR, one of the world’s largest robotics research institutes, offering access to a vast robotics network and opportunities for collaboration with leading experts in various robotics fields. The ACFR is committed to multidisciplinary research, fostering partnerships across sciences, medicine, and industry to maximize the societal and economic impact of robotics innovations.

Applicants must hold a Master’s degree in Robotics, Computer Science, Mechanical Engineering, or a related field. Essential skills include strong programming abilities (Python, MATLAB, or C++), knowledge of ROS, and a strong interest in robot control, learning, human-robot interaction, manipulation, and task planning. Preferred qualifications include experience with robotic hardware or simulation tools and a record of publications in robotics conferences or journals.

While the announcement does not specify funding details, candidates are encouraged to inquire directly with the lab or supervisor regarding available financial support, stipends, or tuition coverage. The University of Sydney and the ACFR provide a dynamic environment for robotics research, with state-of-the-art facilities and a collaborative, multidisciplinary approach.

To apply, interested candidates should fill out the online form provided in the announcement. For more information about Dr. Ahalya Prabhakar and the PHERL lab, visit the linked academic profile and lab website. This opportunity is ideal for candidates passionate about advancing the science of robotics and intelligent systems in a world-class research setting.