PhD Positions in Computer Vision at University of Illinois Chicago (Fall 2026)
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Dr. Wei Tang is an Assistant Professor in the Department of Computer Science at the University of Illinois Chicago (UIC). He is seeking self-motivated PhD students interested in computer vision and machine learning. Fully funded positions are available for Fall 2026. Dr. Tang's contact information and profile are available at cs.uic.edu
Prospective students please contact Dr. Tang with your CV, transcripts, and TOEFL/IELTS scores. The application deadline for a reduced application fee is December 15, 2025.
Short bio: Dr. Wei Tang is currently an Assistant Professor in the Department of Computer Science at the University of Illinois Chicago (UIC). He obtained his Ph.D. in Electrical Engineering from Northwestern University, where his dissertation was honored with a Best Dissertation Award. His research interests include computer vision, machine learning, and their applications. Dr. Tang has served as an associate editor for several international journals, including Pattern Recognition and Machine Vision and Applications, and as an area chair for leading computer vision conferences, including CVPR, ICCV, and WACV. His research has been funded by the National Science Foundation (NSF), including a CAREER award, and industry partners such as Motorola and Wormpex AI Research.
Prospective students please contact Dr. Tang with your CV, transcripts, and TOEFL/IELTS scores. The application deadline for a reduced application fee is December 15, 2025.
Short bio: Dr. Wei Tang is currently an Assistant Professor in the Department of Computer Science at the University of Illinois Chicago (UIC). He obtained his Ph.D. in Electrical Engineering from Northwestern University, where his dissertation was honored with a Best Dissertation Award. His research interests include computer vision, machine learning, and their applications. Dr. Tang has served as an associate editor for several international journals, including Pattern Recognition and Machine Vision and Applications, and as an area chair for leading computer vision conferences, including CVPR, ICCV, and WACV. His research has been funded by the National Science Foundation (NSF), including a CAREER award, and industry partners such as Motorola and Wormpex AI Research.
