University of Hong Kong

Ref.: 534665 Work type: Full-time Department: School of Biological Sciences (26000) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in the School of Biological Sciences, Faculty of Science (Ref.: 534665) Applications are invited for appointment as Post-doctoral Fellow in the School of Biological Sciences, Faculty of Science (Ref.: 534665), to commence as soon as possible for one to two years, with the possibility of renewal subject to satisfactory performance and funding availability. Requirements Applicants should possess a Ph.D. degree in Materials Science, Biochemistry, Molecular Biology, Structural Biology, or a related discipline. Proficiency in English, along with strong collaborative communication skills, is essential. The applicant should have high motivation and a strong interest in cryo-EM methodology development, nanomaterials, and structural analysis of biological samples. The appointee will conduct basic science and translational research focused on integrating nanomaterials with cryo-EM for advanced structural analysis and methodology development. A track record of publishing in top international journals is highly desirable. What We Offer A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. How to Apply The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V., and provide 2-3 referees' names and contact details. Review of applications will start as soon as possible and continue until Sept 30, 2026, or until the post is filled, whichever is earlier. For further information, please contact Dr. Nan Liu (nanliu@hku.hk) The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

Ref.: 534505 Work type: Full-time Department: Faculty of Arts (04000) Categories: Professoriate Staff Applications are invited for a joint appointment as Associate Professor on tenure terms or Tenure-Track Assistant Professor in the Faculty of Arts and the School of Computing and Data Science (Ref.: 534505), to commence on August 1, 2026 or as soon as possible thereafter. Appointment as Assistant Professor will be made on a three-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract. This is an open-discipline call. We are seeking outstanding Humanities scholars capable of developing a creative and innovative programme of research and teaching bridging existing disciplinary strengths in HKUArts and artificial intelligence applications. The appointee will have their tenure home in their specific (inter)disciplinary unit in the Faculty of Arts, but will be jointly appointed to the School of Computing and Data Science and will also become a member of the Institute of Data Science (IDS). As an AI+Arts hire the appointee will foster cross-disciplinary collaborations between strategic research areas in the Faculty and, with the support of the Arts Technology Lab and its staff, take a leading role in applying artificial intelligence (AI) to their research and teaching in the Arts and Humanities. They will develop and maintain high-calibre research, publish their research findings with reputable journals and/or presses, and present their research at conferences, secure external funding through applications for grants, teach courses, mentor students, contribute to service and engage in the scholarly activities of the Faculty. Their teaching will support our AI-rich programme offerings. Applicants should possess a Ph.D. in a relevant field. The ideal candidate will demonstrate a robust research record with a cross-disciplinary approach spanning multiple subfields; a strong commitment to excellence in both research and teaching; and proven academic leadership qualities to contribute to interdisciplinary programmes such as BA&BEng(AI&DataSc) and BA(HDT). The Faculty of Arts The Faculty of Arts, founded in 1912, is a research-led, English-medium faculty offering undergraduate, taught postgraduate, and research postgraduate programmes. One of the University’s three original faculties, with over 3,600 students and some 220 full-time academic and 90 administrative staff, the Faculty of Arts is China’s most international English-language Arts faculty. The quality and comprehensiveness of humanities research and teaching in the Arts Faculty distinguish HKU from other top-ranking universities in China, and make HKU a key vantage point for the study of China’s past and present in relation to the world. The Faculty delivers impact through internationalization, innovation and interdisciplinarity. The Faculty ranges from 1st-4th place in Asia and from 14th-54th in the various world rankings. HKU is the only Asian university in the top 30 ‘Best Universities for Arts and Humanities.’ While HKU regularly places in the top 1-2 most ‘international’ universities in the global rankings, Arts is its most international faculty with 75.7% international professoriate staff. More information about the Faculty is available https://arts.hku.hk/. The School of Computing and Data Science The School of Computing and Data Science (CDS) strives to advance education and research across the fields of computing and data science, artificial intelligence, statistical decision sciences, fintech, and actuarial science. It aims to take an integrated approach to reform these academic disciplines and foster multidisciplinary research collaboration within the University and beyond. CDS is ranked 18th globally in Data Science and Artificial Intelligence and 21st in Computer Science and Information Systems in the QS World University Subject Rankings. For more information about the School, please visit http://www.cds.hku.hk. What we offer The successful candidate will be jointly appointed by a Teaching Department in the Faculty of Arts and the School of Computing and Data Science best aligned with the candidate’s expertise. 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 for fixed-term appointment. 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. The University only accepts online applications for the above post. Applicants should apply online and upload a cover letter, curriculum vitae, research statement, teaching statement, 2 or 3 most significant research publications, and contact information for at least three references. Review of applications will commence as soon as possible and continue until April 30, 2026, or until the post is filled, whichever is earlier. The University is committed to diversity and inclusivity. The Faculty of Arts expressly encourages qualified persons from all genders to apply.

Ref.: 534630 Work type: Full-time Department: Department of Pharmacology and Pharmacy (21300) Categories: Professoriate Staff Research Assistant Professor in the Department of Pharmacology and Pharmacy (Ref.: 534630) We now invite applications for the captioned post. Duties and Responsibilities Design and conduct research on the epidemiology and pharmacoepidemiology of age-related diseases, including osteoporosis, sarcopenia, frailty, and other endocrine and metabolism related diseases. Lead research projects investigating the genomics, proteomics, and metabolomics of osteoporosis and related diseases. Publish original research articles in high-impact journals. Secure external competitive grants. Engage in collaborative projects both internally and externally. Supervise and co-supervise undergraduate and postgraduate students. Perform other duties as assigned. Requirements A Ph.D. degree, preferably in epidemiology, pharmacology, bioinformatics, data science, or related fields. At least 2–3 years of postdoctoral research experience is preferred. Strong background in big data analytics, machine learning, and multi-omics. Strong track record of high-quality research, demonstrated by publications and successful grant applications. Excellent project management and organizational skills. A high sense of responsibility and research integrity, with the ability to work independently, collaboratively, and under pressure. What We Offer The appointment will commence as soon as possible on a 1-year temporary basis. A highly competitive salary commensurate with qualifications and experience will be offered, with the possibility of renewal up to 3 years subject to satisfactory performance and funding availability. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries. How to Apply The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start from March 19, 2026 and continue until May 31, 2026, or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency