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Government Sadiq College and Women University

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PhD Position in Deep Learning with Scholarship Opportunities Government Sadiq College and Women University in China

PhD Position in Deep Learning with Scholarship Opportunities

Government Sadiq College and Women University

China

Dec 21, 2025

Keywords

Computer Science
Deep Learning
Artificial Intelligence
Machine learning

Description

A PhD position in Deep Learning is currently open for applications at the Government Sadiq College and Women University. The opportunity is ideal for motivated and qualified students with a strong background in deep learning methodologies. Applicants should possess a CGPA of 3.0 or above, demonstrate strong familiarity with deep learning principles and tools, and have prior research experience. Published research papers are considered a strong advantage. The specific research direction will be determined during supervision, but a solid foundation in deep learning is essential. Scholarships are available for qualified candidates, subject to university and funding regulations. The position is supervised by Prof. Yongjun Li, whose profile can be found online. Interested candidates are encouraged to submit their CV, transcripts, and research interests for consideration. The application deadline is December 21, 2025. Shortlisted applicants will be contacted for the next stage of the selection process. This position is particularly suited for those interested in deep learning, artificial intelligence, and computer science research. The university provides a supportive environment for advanced study and research in these areas.

Funding

Scholarships are available for qualified candidates in accordance with university and funding regulations. No specific stipend or tuition details provided.

How to apply

Send your CV, transcripts, and research interests to the announcer. Shortlisted applicants will be contacted for the next stage.

Requirements

Applicants should have a CGPA of 3.0 or above, strong familiarity with deep learning principles and tools, and prior research experience. Published research papers are considered a strong advantage. A solid foundation in deep learning methodologies is essential.

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