We aim to model the 3D, lighting, and reflectance properties of scenes from images by combining physics-based models and data-driven machine learning techniques to better understand, model, interpret, and recreate the richness of our visual world. Our research leads to breakthroughs in applications like image editing, video gaming, motion pictures, virtual and augmented reality (VR/AR), education, training, and autonomous driving. We also regularly collaborate with researchers from other world-class institutions such as Adobe, Facebook, INRIA, KAIST, and Disney. Join us!

Representative recent works include:

Because we value equity, diversity, and excellence, our research team is dedicated to offering an inclusive work and life environment to all its members. We find richness in diversity and invite all applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age. Particularly, we encourage women to apply and join our research team.

Post-doc positions

Positions One fully-funded Post-doctoral Fellow position (2-year)
Start date Summer or fall 2021
Description We are looking for outstanding researchers interested in working on problems at the intersection of computer vision, computer graphics, and machine learning. Topics of interest include lighting estimation, spatially-varying BRDF capture and estimation, computer vision with wide-angle images, GANs for image synthesis, and facial animation. The post-doctoral fellow will work in the research group of Prof. Jean-François Lalonde, in close collaboration with graduate students and industrial partners.
Qualifications Applicants must:
  • hold a Ph.D. in computer science, computer engineering, or equivalent;
  • have prior experience in computer vision, computer graphics, or machine learning;
  • have a strong publication record, with paper(s) at top-tier venues in computer vision, graphics, or learning;
  • possess experience with deep learning frameworks (PyTorch preferably);
  • speak and write English (ou français bien sûr!) fluently;
  • be motivated and interested in contributing to this exciting field!
How to apply Send your: CV, transcripts (Ph.D.), research statement (2 pages max), and a list of 2 references to contact (and who will provide strong recommendations) to Jean-Francois Lalonde directly. Incomplete applications will not be reviewed.

About the research group

Prof. Lalonde has established a research group in visual computing and artificial intelligence that has garnered international recognition. He and his group regularly publish in top vision and graphics venues (CVPR, ECCV/ICCV, SIGGRAPH, etc.), and collaborate with numerous companies and universities both in Canada and internationally.

The Computer Vision and Systems Laboratory (CVSL) in the ECE department at Université Laval hosts the activities of 8 professors and close to 60 graduate students and research professionals, working together on the central theme of computer vision and its applications. The CVSL provides a dynamic and stimulating environment with an outstanding infrastructure complete with a CAVE room, mocap system, 3-D scanners and a direct access to high-performance computing facilities.

About Université Laval and Québec City

More than a school, Université Laval is an entire community in the heart of Quebec City, Canada, a complete university recognized for its leadership and its culture of excellence both in teaching and research.

With its half a million inhabitants, Québec City boasts a lively cultural scene and vibrant nightlife. In addition to its bars, cafes, bistros, museums, theatres and cinemas, the capital is host to several major festivals, including the Festival d’été, New France Festival and its famous Winter Carnival.