[Jobs] UToronto PostDoc Positions in AI/CV/Robotics

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Igor Gilitschenski

Sep 6, 2023, 11:53:55 PM9/6/23
to robotics-...@lists.kit.edu, ai-ro...@googlegroups.com, visio...@visionscience.com, u...@engr.orst.edu, ml-...@googlegroups.com
The Robot Vision & Learning Lab (PI: Florian Shkurti) and the Intelligent Systems Lab (PI: Igor Gilitschenski) at the University of Toronto are looking for multiple postdoctoral associates in AI, Computer Vision, and Robotics. Our current interests involve using real-world data for building better simulators, robot learning for manipulation, and robust interactive autonomy for mobile robots. Within these broad directions our current topics of focus are:
  • AI: Geometric deep learning, causal representation learning, model-based & multi-agent reinforcement learning, learning for task and motion planning, vision and language models.
  • Computer Vision: Editable neural rendering, generative models for 3D, neuromorphic computer vision
  • Robotics: Robotic perception and robot learning with applications to autonomous navigation and manipulation. Field robotics.  
We are also open to candidates interested in adjacent fields to open up new research directions in our groups.

  • Applicants must hold (or be about to obtain) a Ph.D. degree in a relevant area in Computer Science, Neuroscience, Engineering, or related disciplines. We will also consider applications from candidates holding a doctorate in Mathematics or Physics even if they do not satisfy some of the subject-specific requirements below.
  • Core research expertise in one of the above fields from graduate work or industry research.
  • The majority of your publications should have been published at top venues in AI (e.g. NeurIPS, ICML, ICLR, AISTATS, UAI, AAAI, JMLR, TMLR), computer vision (ICCV, ECCV, CVPR, T-PAMI), computer graphics (SIGGRAPH, SIGGRAPH Asia), or robotics (ICRA, IROS, RSS, CoRL, T-RO, IJRR, RA-L)
  • Evidence of ability to guide junior researchers (e.g. through leadership roles in supervising undergraduate research projects or supervision of entry level graduate students)
  • Evidence of ability to push own research agenda and lead projects
Position Description
Depending on area of interest and experience, successful candidates will be offered a direct position in our groups or / and supported in applying for relevant postdoctoral fellowships.

How to apply
Please direct your applications including CV and the name and contact of two references to airobotic...@cs.toronto.edu. Applications received before October 1 will receive full consideration.

Igor Gilitschenski, Assistant Professor (Computer Science)
Toronto Intelligent Systems Lab, University of Toronto
Web: https://tisl.cs.toronto.edu | Twitter: @igilitschenski
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