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Up to 30% off — ends 2 Aug
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Haotong Qin
Top university
2 weeks ago
PhD, Research Assistant, and Visiting Student Openings in AI Efficiency, Model Compression, and Embedded Robotics at The Hong Kong Polytechnic University The Hong Kong Polytechnic University in Hong Kong
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableCountry
Hong Kong
University
The Hong Kong Polytechnic University

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About this position
Haotong Qin, Incoming Assistant Professor in the Department of Computing at The Hong Kong Polytechnic University, is recruiting PhD students, research assistants, research interns, and visiting students for work in AI efficiency, model compression, quantization, pruning, knowledge distillation, efficient foundation models, generative AI, AI hardware acceleration, and embedded & robotic systems.
Research directions include extreme model compression, ultra-low-bit and binary neural networks, efficient neural architectures and inference strategies, capability-efficiency trade-offs for LLMs/VLMs/VLAs, AI accelerators, hardware-aware model design, deployment on embedded and reconfigurable devices, intelligent sensing, wearable systems, and real-time embodied intelligence.
Applicants should have a strong interest in efficient AI and relevant backgrounds in machine learning, computer vision, robotics, computer architecture, embedded systems, or related areas. The post does not specify a funding package, but it is a recruiting call for multiple positions.
Interested candidates should email [email protected] with a CV, a brief description of research interests, and the position being applied for. More information is available on the personal page: https://htqin.github.io/.
PhD intake is stated for Spring or Fall 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.
More information can be found here
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