Postdoctoral Fellowships in Computer Vision

We currently have a Postdoctoral Fellowship position in computer vision and machine learning. This fellowship offers a unique opportunity to engage in cutting-edge research at the intersection of computer vision and machine learning. The position is for two years with a possibility for renewal.

Responsibilities:

• Conduct advanced research in computer vision, machine learning, and related areas
• Publish research findings in high-impact journals and conferences
• Collaborate with a team of researchers and students
• Contribute to the development of new projects and funding proposals

Qualifications:

• Ph.D. in Computer Science, Electrical Engineering, or a related field
• Proven track record of publications in top-tier venues such as CVPR, ICCV, ICML, NeurIPS, etc.
• Strong programming skills and experience with deep learning frameworks
• Excellent problem-solving skills and a passion for innovative research

Graduate Research Assistants

We are always looking for highly self-motivated Ph.D. and MSc. students in the broad areas of computer vision, image analysis, and machine learning/deep learning. Highly competitive stipends are available to admitted students. Please read the Survival Guide at CVIS Lab before making your application.

Visiting Scholars

We welcome self-funded visiting Ph.D. students and researchers with demonstrated research records. Top-up stipends are available to qualified candidates.

 

Potential candidates please contact us with your CV and a brief research plan.

Contact Us

Computer Vision and Intelligence Systems Laboratory
George Vari Engineering and Computing Centre
Toronto Metropolitan University
350 Victoria Street
Toronto, ON M5B 2K3

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