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Omar AL-Buraiki

3 days ago

Funded MSc Thesis-Based Positions in AI-Enabled Computer Vision, Robotics, and Control at Algoma University Algoma University in Canada

Degree Level

Master's

Field of study

Computer Science

Funding

Funded MSc thesis-based positions with approximately CAD 22,000 per year.

Deadline

Jan 31, 2027

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Country

Canada

University

Algoma University

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Keywords

Computer Science
Electrical Engineering
Information Technology
Mathematics
Human-computer Interaction
Computer Vision
Human-robot Interaction
Automatic Control
Robotics
Robot Perception and Sensors
ML

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About this position

Algoma University (Brampton Campus) is advertising funded MSc thesis-based positions for Winter 2027 in research areas spanning AI-enabled computer vision, robotic intelligence, 3D-SLAM, robotic perception, human-computer interaction, human-robot interaction, and data-driven / learning-based control design.

The positions are led by Omar AL-Buraiki, Assistant Professor in the Faculty of Computer Science and Technology at Algoma University. The post emphasizes cutting-edge research at the intersection of machine vision, robotics perception, and automatic control, with a focus on intelligent systems that can understand, navigate, and interact with the real world.

Eligibility highlights: a BSc in Computer Science or a related field, strong academic performance, strong programming skills in Python and/or C++, and machine learning experience. A background in robotics, computer vision, or photogrammetry is preferred.

Funding: approximately CAD 22,000/year.

How to apply: email a single PDF to [email protected] including a resume (2–6 pages), BSc transcripts, and optionally GitHub or publication links.

Application window: the post specifies Winter 2027; no exact deadline is given.

Funding details

Funded MSc thesis-based positions with approximately CAD 22,000 per year.

What's required

Applicants should have a BSc degree in Computer Science or a related field with strong academic performance. Strong programming skills in Python and/or C++ and machine learning are required. A background in robotics, computer vision, or photogrammetry is preferred.

How to apply

Email a single PDF application to [email protected] containing a resume (2–6 pages), BSc transcripts, and optionally GitHub or publication links.

More information can be found here

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