Li Cheng
Top university
5 days ago
Funded Postdoc and PhD Positions in Computer Vision at University of Alberta University of Alberta in Canada
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
Canada
University
University of Alberta

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Where to contact
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About this position
The Vision and Learning Lab at the University of Alberta, Canada, is seeking applications for funded Postdoctoral Researcher and PhD student positions. The lab, led by Professor Li Cheng, specializes in computer vision and related research areas, including machine learning, pattern recognition, image processing, and 3D vision. The group has a strong publication record in top journals and conferences such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, CVPR, ICCV, ICML, NeurIPS, ICLR, and MICCAI.
Successful candidates will join a dynamic research environment within the Department of Electrical and Computer Engineering. The lab offers opportunities to work on cutting-edge projects in computer vision and artificial intelligence. Applicants should have a strong background in computer vision or related fields. Graduate student applicants are expected to hold a relevant undergraduate or master's degree, while postdoctoral candidates should have completed a PhD in a related area. Motivation and research experience are important selection criteria.
Positions are funded, though specific details regarding stipend, tuition, or other financial support are not provided in the announcement. Interested candidates are encouraged to email their CV (in PDF format) to Professor Li Cheng at [email protected]. For more information about the lab and its research, visit the lab website at https://vision-and-learning-lab-ualberta.github.io/.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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