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The Hong Kong Polytechnic University
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Fully Funded PhD in Human-AI Collaboration, HCI, and AI in Education The Hong Kong Polytechnic University in Hong Kong
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 10, 2026
Country
Hong Kong
University
The Hong Kong Polytechnic University

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About this position
Fully funded PhD opportunity in Human-AI collaboration at The Hong Kong Polytechnic University, School of Design. The project sits within an ongoing EU-HK collaborative research initiative exploring how teachers and learners interact with GenAI in education and how AI systems can be designed to better support meaningful human-AI collaboration.
The position is supervised by Dr. Feiran Zhang (PolyU) and Prof. Michail Giannakos (NTNU). The research environment is centered on HCI, AI in Education, educational technology, learning sciences, learning analytics, affective computing, and learner-centered design. The post highlights mixed-methods research, qualitative skills, academic writing, and publication potential.
This is a fully funded 4-year PhD position with training and support for conference presentations and journal publications, plus the chance to work with educators, students, and interdisciplinary collaborators on research with educational and societal impact.
Eligibility highlights: strong background in HCI, AI in Education, educational technology, learning sciences, or a related field; interest in generative AI, learning analytics, affective computing, or learner-centered design; strong mixed-methods experience; clear communication and collaborative skills.
How to apply: email Dr. Feiran Zhang with a 2-page cover letter, CV, academic transcripts, a writing/publication sample if available, and contact details for at least two referees. Deadline: 10 August 2026. Start date: January 2027.
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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