The University of Hong Kong (HKU) has established a world-class Teaching and Research Site for the School of Computing and Data Science in Zhangjiang Hi-Tech Park, Shanghai (“CDS (SH)”). CDS (SH) marks a strategic milestone in regional academic collaboration, providing a dynamic environment for pioneering research, interdisciplinary engagement, and talent cultivation in the field of AI and Computer Science. We are seeking proactive, skilled, and service oriented Teaching Assistants to join CDS (SH).
Duties and Responsibilities
The appointees will assist instructors in course preparation and administration, conduct tutorials and support laboratory sessions, grade assignments and tests, invigilate examinations, and perform other duties as assigned.
Applicants with relevant hands-on experience in any of the following areas will be beneficial:
- Data science and machine learning
- Digital currencies, blockchain development and decentralized applications
- Large Language Models (LLMs), artificial intelligence, or embodied intelligence applications
- Data security and privacy in artificial intelligence frameworks
Requirements
Applicants should hold a Master’s degree in Engineering, a STEM-related field, or a related discipline. Strong written and spoken English communication skills are essential. They should be self-motivated, with strong problem-solving, communication, and organisation skills. Candidates with experience in providing learning and teaching support in tertiary institutions will have an advantage.
Terms of Appointment
The appointment will be offered by an HKU entity incorporated in Shanghai, which will be governed by the Labour Contract Laws of the People’s Republic of China. The remuneration package will be competitive and commensurate with qualifications and experience.
How to Apply
Applications and/or enquiries, specifying the position applied for, should be sent to cdssh-generaloffice@hku.hk. Review of applications will start as soon as possible and continue until the posts are filled, whichever is earlier.
