The Hang Seng University of Hong Kong (HSUHK) is a non-profit private liberal-arts-oriented university with six Schools (Business, Communication, Decision Sciences, Humanities and Social Science, Translation and Foreign Languages, and Transdisciplinary Studies), and over 7,000 full-time undergraduate and postgraduate students. With its unique “Liberal + Professional” education model, HSUHK nurtures young talent with critical thinking, innovative minds, caring attitudes, moral values and social responsibility.

Aspiring to be a leading private university in the region, HSUHK prioritises stellar undergraduate education, top-quality faculty members, award-winning green campus facilities, innovative degree programmes, a unique residential college system that combines living and learning, interactive small-class teaching, close student-teacher relationships, impactful research, and excellent student development and support services.

HSUHK has earned various international recognitions. In the AppliedHE’s ALL ASIA Private University Ranking 2026, it secured 7th place in the Greater China region. HSUHK ranked 22nd in Social Sciences and Humanities and 33rd in Economics and Finance among China’s top universities in the Research.com Top Universities and Top Scientists Rankings 2025. The MSc in Global Supply Chain Management programme achieved 84th place globally in the QS International Trade Rankings 2025. Additionally, HSUHK’s School of Business obtained AACSB International accreditation in 2023, a mark of excellence held by only 6% of the world’s leading business schools. HSUHK was also ranked among the top 200 worldwide on “Quality Education” and “Decent Work and Economic Growth” in the Times Higher Education University Impact Rankings 2021.

The University now invites applications for the Research project “Optimizing Model Freshness for Federated Transfer Learning with Extreme Cases in Autonomous Driving Networks”, funded by the Research Grants Council:

• to assist in all aspects of research activities;
• conduct research related to Deep Learning and Mobile Edge Computing;
• to develop autonomous driving simulations; and
• to assist in reporting of experimental results and draft academic papers.

• possess a recognised bachelor’s degree in Computer Science, Electronic Engineering, Information Technology or related disciplines;
• have experience in Deep Learning or Autonomous Driving simulators will be advantageous;
• be proficient in English and with good writing skills;
• possess good analytical, mathematics and programming skills;
• have good communication and interpersonal skills, and
• be able to work independently.