Concordia University PhD Fellowship in Computer Science and Software Engineering 2026

This project focuses on IASO – Intelligent AI Systems for Surgical Operations.

IASO, an NSERC Alliance project with THINK Surgical, advances real-time sensing and spatial intelligence for robotic surgical systems. Building on the ACESO project’s breakthroughs in camera calibration and tracking, IASO integrates deep learning, computer vision, and multi-sensor fusion to achieve sub-millimetric accuracy in 3D reconstruction and scene registration. Students will design robust algorithms for dynamic, cluttered surgical environments—enhancing calibration reliability, perception, and interaction between optical, depth, and inertial sensing modalities.

Table of Content

• Summary
• Benefits
• Requirements
• Application Deadline
• How To Apply

Summary

• Application DeadlineNot Specified
• Study LevelPhD , Postdoctoral Fellowships
• SponsorConcordia University
• City to studyQuebec
• School to studyConcordia University
• Course to studyComputer Science , Computer Science and Artificial Intelligence , Software Engineering
• Eligible CountryAll Countries

Benefits

• Opportunity to contribute to cutting-edge research in computer vision, 3D reconstruction, and AI-driven surgical systems as part of the IASO NSERC Alliance project with THINK Surgical.
• Access to advanced GPU clusters, motion-capture and XR facilities, and custom imaging testbeds at the Immersive and Creative Technologies (ICT) Lab, Concordia University.
• Supervision and mentorship from Professor Charalambos Poullis, an internationally recognized researcher in computer vision, computer graphics, and virtual/augmented/mixed reality.
• Opportunities to publish in top-tier venues such as CVPR, ICCV, ECCV, and MICCAI, and to collaborate with industrial and clinical partners on AI-assisted surgical technologies.
• Competitive funding package and support for technical training, conference travel, and interdisciplinary collaboration within a dynamic research environment bridging academia and industry.

Requirements

• Bachelor’s/MSc/PhD in Computer Science, Electrical/Software Engineering, or related discipline.
• Proven experience in computer vision, deep learning, and 3D geometry (camera models, epipolar geometry, bundle adjustment).
• Strong programming proficiency in Python and C++, with practical use of PyTorch or TensorFlow for vision models.
• Experience with OpenCV, Open3D, PCL, ROS, or NVIDIA Isaac SDK.
• Familiarity with structure-from-motion (SfM), visual SLAM, or multi-view stereo pipelines.
• Background in graphics or rendering engines (e.g., Unreal, Blender, Unity) for synthetic data generation (asset).
• GPU acceleration and CUDA development experience (asset).
• Excellent analytical, experimental design, and scientific writing skills.

Check also:
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Application Deadline

How To Apply

Please send the following documents merged in a single PDF file to [email protected]:

• Letter of intent strongly aligned with the project and the research domain of the professor (Please explain why you are a fit for a position)
• Academic CV
• Transcripts
• Names and contact information of 3 referees
• Publications if any

Applicants are strongly encouraged to include links to GitHub, personal websites, or portfolios demonstrating previous implementations, open-source contributions, or research projects.

• Subject of the email: IASO_Your name_PhD
• Name of the application file (PDF): IASO_Your name_PhD

Deadline: Applications will be considered on a rolling basis.

For all questions, please contact Alisa Makusheva at [email protected]

For more details, visit the scholarship webpage