Yue Hu
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Postdoc in Robot Learning for Complex Manipulation and Manufacturing with Cobot Arms University of Waterloo in Canada
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoc position for 1 year with possibility of renewal. The post does not specify stipend or salary details.
Country
Canada
University
University of Waterloo

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About this position
Postdoc opportunity in Robotics at the University of Waterloo, Canada
The Active & Interactive Robotics Lab (AIR Lab), led by Assistant Professor Yue Hu at the University of Waterloo, is hiring a postdoctoral researcher to work on a collaboration project with industry partners. The research focus is robot learning for complex manipulation tasks in manufacturing using cobot arms.
This position is a strong fit for candidates with a background in robot control, machine learning, deep learning, and reinforcement learning applied to robotic systems. Helpful but non-mandatory experience includes computer vision, image processing, sensor fusion, state estimation, teleoperation, and human-robot collaboration.
Eligibility highlights: applicants must have completed a PhD in Robotics, Mechanical Engineering, Computer Engineering, Computer Science, or a related field by the start date. The position is based at the University of Waterloo in Ontario, Canada. Candidates currently in Canada or able to relocate on short notice may be prioritized.
Position details: start date is January 2027, negotiable; duration is 1 year with possible renewal. The post does not mention stipend or salary details.
How to apply: submit the online form and upload the required documents through the application link. The position is open until filled, so early application is recommended. Only shortlisted candidates will be contacted.
Funding details
Postdoc position for 1 year with possibility of renewal. The post does not specify stipend or salary details.
What's required
A completed PhD degree in Robotics, Mechanical Engineering, Computer Engineering, Computer Science, or a related field by the starting date is required. Strong background in robot control and robot learning/machine learning is expected. Desired experience includes working with robot arms such as Kinova, Franka Emika, or KUKA, and familiarity with computer vision/image processing, sensor fusion/state estimation, teleoperation, and human-robot collaboration is a plus but not mandatory. Candidates located in Canada or able to relocate to Canada on short notice may be prioritized.
How to apply
Fill in the online application form and upload the required documents through the provided form link. Apply as soon as possible because the position is open until filled. Shortlisted candidates only will be contacted.
More information can be found here
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