Xingyi Yang
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PhD Opportunities in World Models, Video Generation, and Efficient AI at The Hong Kong Polytechnic University The Hong Kong Polytechnic University in Hong Kong
Degree Level
PhD
Field of study
Computer Science
Funding
PhD opportunities are tied to the Hong Kong PhD Fellowship Scheme (HKPFS) and the PolyU Presidential PhD Fellowship Scheme (PPPFS), both prestigious fellowship routes for doctoral study. The post does not specify stipend, tuition, or other financial details.
Country
Hong Kong
University
The Hong Kong Polytechnic University

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About this position
Xingyi Yang, Assistant Professor at The Hong Kong Polytechnic University, is looking for strong PhD applicants for the Hong Kong PhD Fellowship Scheme (HKPFS) and PolyU Presidential PhD Fellowship Scheme (PPPFS).
The research focus is in Data Science and Artificial Intelligence, especially world models, video generation, and efficient AI. This is a good fit for students with interests in machine learning, computer vision, generative models, and scalable AI systems.
The post is specifically about doctoral study, not a postdoc or master’s opening. It is framed as a competitive fellowship-backed PhD opportunity at PolyU in Hong Kong.
No detailed eligibility list is provided in the post, but the wording suggests the supervisor is seeking strong applicants with relevant research potential. Interested candidates are invited to reach out directly to the professor.
If you are interested, contact Xingyi Yang and prepare a strong PhD application aligned with HKPFS/PPPFS expectations.
Funding details
PhD opportunities are tied to the Hong Kong PhD Fellowship Scheme (HKPFS) and the PolyU Presidential PhD Fellowship Scheme (PPPFS), both prestigious fellowship routes for doctoral study. The post does not specify stipend, tuition, or other financial details.
What's required
Looking for strong PhD applicants interested in research on world models, video generation, and efficient AI. The post does not specify formal GPA, degree, or language-test requirements, but it is framed as a competitive PhD application for HKPFS and PPPFS.
How to apply
Interested applicants should contact Xingyi Yang directly by email or message to express interest. Prepare a strong PhD application for HKPFS/PPPFS and follow up with your CV and research background if requested.
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