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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 available
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Country

Hong Kong

University

The Hong Kong Polytechnic University

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Keywords

Computer Science
Electrical Engineering
Information Technology
Robotics
Knowledge Distillation
Embedded System
Large Language Models

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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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