Vision numérique, infographie et apprentissage automatique 30 juin 2021 Post-doctorat

Stagiaire postdoctoral – Vision numérique

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.

Pour plus d’informations

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.

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.

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