[visionlist] postdoc opportunity

[Zygmunt Pizlo]

*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 at cs.toronto.edu).
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