PhD Position in Human-Robot Interaction, Motor Learning, and AI-driven Training Systems at University of Alberta University of Alberta in Canada

The IDEA Lab, led by Dr. Milad Nazarahari, and the Telerobotic & Biorobotic Systems Group, led by Dr. Mahdi Tavakoli, at the University of Alberta are recruiting a highly motivated PhD student for a fully funded position focused on intelligent, personalized training systems. This interdisciplinary project sits at the intersection of robotics, motor learning, and AI-driven human-interaction systems, with applications in rehabilitation therapy and professional skill learning.

Research topics include human–robot interaction, motor learning and adaptive feedback, exergame/therapy personalization, and LLM-based interactive coaching. The successful candidate will work with state-of-the-art robotic systems such as Kinarm and ALEx Exoskeleton, and advanced sensing technologies including EEG, EMG, eye tracking, GSR, and HR. The project aims to develop next-generation adaptive training systems by integrating modules for real-time game difficulty modulation, task progression optimization, adaptive robotic support, feedback adaptation, and AI agents for interactive coaching.

Applicants should have an MSc in Biomedical, Mechanical, Electrical Engineering, Computer Science, Kinesiology, or a related field, with strong interest and experience in human motor learning/adaptation, computational modeling, human-robot interaction, machine learning or AI systems, and data acquisition/analysis from physiological sensors. Proficiency in Python and ML/AI frameworks (PyTorch, TensorFlow) is required, along with excellent communication and teamwork skills.

The position is fully funded, though specific financial details are not provided. Applications are accepted exclusively via the provided Google Form and will be reviewed on a rolling basis until filled. Early applications are encouraged. For more information, visit the IDEA Lab and Telerobotic & Biorobotic Systems Group pages.