University of Hong Kong

Ref.: 536216 Work type: Full-time Department: Department of Microbiology, School of Clinical Medicine (20700) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Post-doctoral Fellow (several posts) in the Department of Microbiology, School of Clinical Medicine (Ref.: 536216), to commence as soon as possible for one or two years, with the possibility of renewal subject to satisfactory performance. These posts are created specifically to bring new impetus and talent to the University’s research enterprise, and to meet the strategic research needs identified by the Department of Microbiology, School of Clinical Medicine. Applicants should have a Ph.D. degree with extensive research experience in cellular and molecular biology, cancer biology, immunology or virology; and preferably with basic laboratory skills of animal studies (mouse models). The appointees will conduct research projects related to influenza virus, coronavirus, or Epstein-Barr virus under the supervision of Professor Honglin Chen. The appointee may work off-campus occasionally on collaboration projects with other academic institutions and companies. Please find more details for research projects under Professor Honglin Chen’s lead at https://hub.hku.hk/cris/rp/rp00383. Those who have responded to the previous advertisement (Ref.: 533931) need not re-apply. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online application for the above posts. Applicants should apply online, upload a cover letter and an up-to-date C.V. Review of applications will start as soon as possible and continue until August 5, 2026, or until the posts are filled, whichever is earlier.

Ref.: 534532 Work type: Full-time Department: Department of Data and Systems Engineering (14400) Categories: Professoriate Staff Professor and Head of Department of Data and Systems Engineering The Faculty of Engineering at the University of Hong Kong invites applications for appointment as Professor and Head of Department of Data and Systems Engineering (Ref.: 534532), to commence as soon as possible. The appointment as Head of Department will be made for an initial term of three years, renewable subject to mutual agreement. The University Founded in 1911, the University of Hong Kong has attained its pre-eminence as a research-led comprehensive university by upholding the highest international standards of excellence in its research, scholarship, teaching and learning, and service to the community.  The University is consistently ranked amongst the world’s top universities: 11th in QS World University Rankings 2026, 1st in the QS Asia University Rankings 2026 and 33rd in Times Higher Education World University Rankings 2026.  In recent years, the University was ranked multiple times as the most international University in the world. There are more than 19,000 undergraduate and 23,000 postgraduate students and more than 9,600 academic, academic-related and administrative staff at the University. The Faculty The Faculty of Engineering, one of the founding faculties of HKU, is at the forefront of engineering research and education. It is among the largest faculties at the University, offering a wide range of undergraduate, postgraduate, and research degree programmes. In 2024–25, the Faculty enrolled over 7,500 students (approximately 37% undergraduate and 63% postgraduate) and attracted over HK$2 billion in research funding. The Faculty has more than 230 full-time professoriate and teaching staff, with strong links to industry, government, and international academic partners, and a thriving ecosystem for interdisciplinary innovation. The Department The Department of Data and Systems Engineering (DASE) (formerly the Department of Industrial and Manufacturing Systems Engineering) currently comprises around 20 core faculty members and serves approximately 200 undergraduate and 600 graduate students. DASE offers a portfolio of programmes including: BEng in Data and Systems Engineering MSc(Eng) in Industrial Engineering and Logistics Management MSc(Eng) in Robotics and Intelligent Systems MPhil and PhD programmes in related areas In the era of the artificial intelligence and big data revolution, DASE upholds the philosophy of 'computing-in-practice'. Its vision is to bridge the cyber and physical worlds by integrating data science methodologies (including AI and machine learning) with human-centric tools such as robots and intelligent systems to create greater value for humanity. To achieve this goal, DASE focuses on three key and rapidly evolving areas: Data Engineering and Analytics Human-Machine Cooperation Robotics and Automation DASE is well-positioned for significant growth in research, education, and impact, both within Hong Kong and internationally. The Role Reporting to the Dean of Engineering, the Head of DASE will provide strategic, intellectual, and visionary leadership to grow the Department’s research and educational missions, lead the expansion of the Department professoriate and shape the Department’s future, and contribute to the broader advancement of the Faculty of Engineering. Qualifications and Attributes Applicants should have: A PhD in a relevant field and academic stature appropriate for appointment as Professor or Chair Professor at HKU; Distinguished academic credentials, with internationally acclaimed research achievements and scholarly leadership in areas related to the Department’s strengths; A proven track record of academic leadership, preferably including prior administrative and management experience; Demonstrated commitment to high-quality teaching, student learning, and mentoring, including the development of early-career faculty and researchers; Outstanding leadership, interpersonal, and communication skills, with the ability to inspire and unite faculty, staff, and students around a shared vision; Ability to build strategic partnerships with industry, government, and international academic institutions, and to contribute to resource development and institutional advancement. Research Environment and Opportunities Hong Kong and the Chinese Mainland offer a particularly rich research funding landscape, with opportunities that far exceed those available in many other countries. Faculty can access competitive funding through research funding agencies, government schemes and collaborative opportunities with local, regional, and international industry partners.  The University is also adding major new facilities in the region, providing a world-class infrastructure for cutting-edge research, innovation, and talent development. Terms and Benefits A highly competitive salary commensurate with qualifications and experience will be offered, together with contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary. Other benefits include annual leave and professional leave, medical benefits, and free access to on-campus gyms and libraries. Housing benefits will be provided as applicable. Application The University only accepts online applications for the above post. To ensure full consideration, applicants should apply online and upload: (1) an up-to-date CV with publication list, (2) a letter of interest outlining their experience and vision for research and academic leadership, (3) an outline of their strategic vision as the Head of DASE if appointed. Review of applications will start on August 1, 2026 and continue until the post is filled. Advertised:May 1, 2026 (HK Time) Applications close:Jul 31, 2026 (HK Time)

Ref.: 536148 Work type: Full-time Department: School of Computing and Data Science (14700) Categories: Teaching Staff Full-time Teaching Assistant in the School of Computing and Data Science (several posts) (Ref.: 536148) ( to commence as soon as possible, on a one-year temporary full-time basis, with the possibility of renewal) Applicants should possess a good Bachelor’s degree in Computer Science or a related discipline. Good written and spoken English, along with good communication skills, are essential. Preference will be given to those with relevant experience in teaching support and a background in AI literacy. The appointees will report to the Course Coordinator of AI literacy courses. Their main role is to assist faculty members with course preparation and delivery, conduct tutorials and support student learning, grade assignments and examinations, provide constructive feedback to students, maintain course-related records and databases, and facilitate communication between students and faculty members. They will also assist in organizing workshops and seminars, and perform any additional duties as assigned. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until June 15, 2026, or until the posts are filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency