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Yaoyao Liu

Top university

6 months ago

PhD and Master's Openings in Computer Vision, Machine Learning, and Information Sciences at University of Illinois Urbana-Champaign University of Illinois Urbana-Champaign in United States

Degree Level

Master's, PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

United States

University

University of Illinois at Urbana-Champaign

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Keywords

Computer Science
Information Technology
Medical Imaging
Artificial Intelligence
Computer Vision
Library Science
3d Modeling
Continual Learning
Machine learning

About this position

The Computer Vision and Machine Learning Group at the University of Illinois Urbana-Champaign, led by Assistant Professor Yaoyao Liu, is recruiting multiple PhD students for Fall 2026 in Information Sciences, Computer Science, and Informatics. The group focuses on cutting-edge research in computer vision, machine learning, artificial intelligence, continual learning, few-shot learning, 3D generative models, and medical image analysis. Applicants should have a strong background in these areas and are encouraged to apply to the relevant graduate programs at UIUC, mentioning Prof.

Liu in their application. The group has access to extensive computing resources, including high-performance GPU clusters. While no explicit funding details are provided, PhD positions at UIUC are typically fully funded. The application deadline is usually in December, with interviews in January and February.

Master's students interested in research are also welcome to apply to the MSCS program. For more information, visit the group’s website or contact via the provided emails.

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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