Introduction of School

The School of Artificial Intelligence (SAI) of The Chinese University of Hong Kong, Shenzhen was founded on February 13, 2025.

The School is committed to addressing the critical national strategic needs and advancing the international frontiers in artificial intelligence. Rooted in the strategic development plan of the Guangdong-Hong Kong-Macao Greater Bay Area and leveraging the industrial strengths of the vibrant Shenzhen Special Economic Zone, the School builds on the solid academic foundation of The Chinese University of Hong Kong, Shenzhen to advance AI foundations and technologies. With a strong emphasis on internationalization, the School aims to create an interdisciplinary and innovative learning environment that equips students with a solid foundation in computer science, mathematics, statistics, and cognitive science, enabling them to fully grasp the principles and applications of AI.

The School focuses on cultivating students’ ability to apply AI technologies across disciplines, encouraging them to transcend traditional academic boundaries and use AI in critical fields such as fundamental sciences, medicine, finance and social sciences. This enables the School to drive technological innovation and industrial integration.

The School strives to elevate China’s teaching and research capabilities in AI through a series of systematic, original breakthroughs with significant international impact. It aims to nurture top-tier professionals and interdisciplinary talents for the nation, the Greater Bay Area, and Shenzhen, providing a continuous supply of talent and research support for the sustainable development of the AI industry.

Post Specification

Newly established, The School of Artificial Intelligence (SAI) at The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen) is pleased to invite applications for full-time faculty positions at all academic ranks with multiple positions. We seek outstanding individuals who are eager to contribute to the advancement of artificial intelligence research and education. Candidates will join a vibrant, interdisciplinary environment that values academic excellence, innovative research, and impactful teaching. We welcome candidates with expertise in, but not limited to, the following areas:

l Natural Language Processing (NLP): Large language models (LLMs), sentiment analysis, multilingual AI, and generative AI.

l Machine Learning and AI Foundations: Reinforcement learning, transfer learning, representation learning, trustworthy/explainable AI, and computational cognitive science.

l Embodied AI: Human-robot interaction, multi-modal perception, and AI for autonomous decision-making systems.

l Large-scale AI and Distributed Machine Learning: Scalable AI systems, distributed computing architectures, and multi-agent learning frameworks.

l Robotics and Autonomous Systems: Motion planning, intelligent navigation, embodied intelligence, robot design, nano-robots, swarm robotics, medical robotics, and AI for dynamic environments.

l AI Ethics and Society: Fairness, accountability, transparency, and the social implications of AI technologies.

l Emerging AI Paradigms: Neuro-symbolic AI, lifelong learning, quantum AI, and cognitive-inspired computing models.

l AI and Applications: AI for Science, AI for Business and Economics, AI for Medicine, AI for Society, etc.

l Signal Processing: AI-driven statistical signal processing, graph signal processing, and data-driven signal analysis for complex systems.

l Mathematical Sciences: Statistics, advanced computational mathematics, numerical optimization techniques, and mathematical foundations for AI and machine learning.

Qualified candidates have a doctoral degree in Computer Science, Electrical Engineering, Mathematical Science, and other related fields, complemented by postdoctoral training and relevant work experience in related research areas. Applicants for professorships at the rank of Professor or Associate Professor are expected to have an established research program with a funding history, independent research and teaching experiences, and an excellent publication record.  We also welcome candidates with teaching experience in related fields for Lecturer and Senior Lecturer positions.

Application Procedure

Please send a full curriculum vitae, a cover letter,  teaching statement, research statement (including future research plan) and the completed Application Form (please download the blank form online ) together with copies of qualification documents, a publication list and/or selected abstracts and recent teaching-related information such as teaching evaluations by email to talent4sai@cuhk.edu.cn. At least three reference letters should be sent by individual referees directly to talent4sai@cuhk.edu.cn with the email subject as “Reference – Job title – Full name of applicant”.

Applications and nominations will be considered until the posts are filled.