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University of Guelph

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MSc and PhD positions in Computer Vision and Autonomous Driving at the University of Guelph University of Guelph in Canada

Degree Level

Master's, PhD

Field of study

Computer Science

Funding

Funding information is not provided in the post. The announcement only states MSc and PhD positions and does not specify stipend, tuition coverage, or whether the positions are fully funded.

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Country

Canada

University

University of Guelph

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Keywords

Computer Science
Electrical Engineering
Computer Vision
Robotics
User Behavior
Autonomous Vehicle

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About this position

MSc and PhD positions are available at the University of Guelph in Canada for students interested in Computer Science, Computer Vision, Autonomous Driving, and Robotics.

The positions are in Assistant Professor Iuliia Kotseruba's lab and focus on vision foundation models for road user behavior understanding, drivers' attention allocation, and making simulated road users more realistic. This is a research-oriented opportunity for applicants who want to work on open problems at the intersection of perception, behavior modeling, and intelligent transportation systems.

The post mentions start dates of January 2027, September 2027, or January 2028. No detailed eligibility criteria, funding package, stipend, or tuition information is provided in the announcement.

Interested candidates should visit the lab website linked in the post for more information and application steps.

Funding details

Funding information is not provided in the post. The announcement only states MSc and PhD positions and does not specify stipend, tuition coverage, or whether the positions are fully funded.

What's required

Applicants should be interested in research on computer vision, autonomous driving, vision foundation models, road user behavior understanding, and driver attention allocation. The post does not list detailed eligibility requirements, degree prerequisites, language scores, GPA thresholds, or prior experience requirements.

How to apply

Visit the lab page linked in the post and look for the application instructions. Review the project details and contact the supervisor if needed before applying.

More information can be found here

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