Multi-Institutional Postdoctoral Fellowships

Candidates are sought for two postdoctoral researchers to join an interdisciplinary team of computer and human vision researchers studying the role of perceptual grouping, such as forms of symmetry, in object and scene categorization and reconstruction in both human and computer vision.  The postdocs will be based at the University of Toronto, working closely with Professors Sven Dickinson (Computer Science) and Dirk Bernhardt-Walther (Psychology), but will also work closely (in person) with Professors Kaleem Siddiqi (Computer Science, McGill University) and Zygmunt Pizlo (Cognitive Sciences, UC Irvine). This is a unique opportunity to help shape a highly interdisciplinary research program across four labs, significantly advancing our understanding of visual perception. 

Candidates should have a PhD in computer vision, psychology, cognitive science, AI, or computational neuroscience, with experience using, and innovating with, modern machine learning tools. It is essential that the candidates have a deep interest in how computer vision can help us better understand human vision and, conversely, how human vision can better inform computer vision. The ideal candidate will have a background in one or more of the following research areas: 2-D or 3-D shape perception, 2-D or 3-D shape representation learning, object recognition, shape invariants and shape constraints, scene categorization, and perceptual grouping. Skills in image processing or classical computer vision and/or applied mathematics are desirable as well. We seek candidates with a strong interest in, and willingness to learn, how to apply cutting-edge ML techniques at the forefront of computer vision, informed by human vision research, though practical neural network design experience would be preferred.

Interested candidates should send a cover letter, CV, and a statement of their research experience and interests to Sven Dickinson (sven@cs.toronto.edu).