The PhD(B) position is part of the IASO: Enhancing Surgical Precision with Advanced Camera Systems and Artificial Intelligence project at Concordia University’s Immersive and Creative Technologies (ICT) Lab, led by Dr. Charalambos Poullis in collaboration with THINK Surgical Inc. The project aims to advance robotic surgical systems through innovations in multi-sensor integration, artificial intelligence, and real-time 3D reconstruction, building on the success of the previous ACESO project.
PhD(B) will focus on developing AI-driven calibration and 3D reconstruction methods that integrate multiple sensor modalities, including RGB, infrared, LiDAR, and event-based cameras. The research will explore deep learning–based sensor fusion and multi-modal 3D modeling to improve the accuracy, robustness, and adaptability of surgical vision systems. A key objective will be to implement knowledge distillation techniques that compress complex AI models for deployment on real-time surgical hardware without compromising precision.
The PhD student will collaborate closely with engineers and scientists from THINK Surgical, gaining access to proprietary robotic systems, datasets, and practical insights into real-world surgical workflows. Working alongside the postdoctoral fellow and MSc students, they will contribute to the design, training, and validation of AI algorithms under both simulated and operational surgical environments.
The position offers a $25,000 annual stipend, funded by the NSERC Alliance Advantage grant, with potential for additional top-up support. PhD(B) will acquire advanced expertise in deep learning, sensor fusion, real-time AI systems, and medical imaging, developing the skills necessary for high-impact research and innovation in AI-powered surgical robotics. The role provides an excellent opportunity to contribute to technologies that will redefine precision and reliability in next-generation medical systems.