University of Hong Kong

Ref.: 537056 Work type: Full-time Department: School of Future Media (31200) Categories: Teaching Staff Applications are invited for appointment as Assistant Lecturer in News Literacy and Factchecking in the School of Future Media (SFM) (Ref.:537056) to commence on November 1, 2026, or from as soon as possible thereafter, with possibility of renewal based on satisfactory performance and funding availability. The SFM is seeking a dedicated and trained fact-checking journalist to teach fact-checking courses at undergraduate and postgraduate level, and supervising Annie Lab (https://annielab.org), our fact-checking media outlet. Key Responsibilities Support the teaching of relevant fact-checking courses at undergraduate and postgraduate level Supervise the operations of Annie Lab including student advising and news editing Contribute to a collaborative and innovative learning environment  Requirements Master’s degree or above in journalism or relevant disciplines At least three years’ working experience in fact-checking and/or journalism Strong command of written and spoken English Solid understanding of the news and social media landscape Proficiency in digital verification tools and techniques Knowledge of other Asian languages and prior teaching experience are advantageous A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of basic salary. The University only accepts online applications for the above posts. Applicants should upload an up-to-date CV and teaching statement. Review of applications will start as soon as possible and continue until November 30, 2026, or until the position is filled, whichever is earlier.

Ref.: 537065 Work type: Full-time Department: Department of Pharmacology and Pharmacy (21300) Categories: Senior Research Staff & Post-doctoral Fellow Research Officer in the Department of Pharmacology and Pharmacy (to be seconded to GBAICTI as Data Scientist - Artificial Intelligence) (Ref.: 537065) The Greater Bay Area International Clinical Trial Institute (GBAICTI) is a wholly-owned entity of the Government of the Hong Kong Special Administrative Region, serving as a centralized clinical research facilitation platform with the mission of creating and sustaining a thriving clinical research ecosystem and driving development in Hong Kong and Greater Bay Area (GBA). In November 2024, the University of Hong Kong LKS Faculty of Medicine (HKUMed) was appointed as the operator of GBAICTI. In December 2025, the Real-World Study and Application Centre (RWSAC) was established under GBAICTI to open up local health and medical databases and promote collaboration between Hong Kong and other GBA cities. We are now seeking a high-calibre professional to join the RWSAC (located at Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone) as Data Scientist - Artificial Intelligence. Duties and Responsibilities Develop and apply advanced artificial intelligence and machine learning models to real-world data (RWD). Create innovative tools and solutions to extract deeper insights from RWD and enhance the centre’s analytical capabilities. Develop, validate, and deploy AI/ML models to support RWE generation. Leverage the RWSAC's AI facility to conduct large-scale analyses and build innovative tools derived from RWD to improve clinical practice and research. Stay abreast of the latest developments in AI/ML for healthcare and ensure methodologies are cutting-edge and scientifically sound. Ensure all AI models are developed with considerations for fairness, ethics, and transparency.  Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics, Information Systems, or a related field. A minimum of 5 years’ experience in data engineering, data ops, or AI/ML data management, preferably in the medical and/or research sectors. Hands-on experience in building and maintaining production-grade datasets for AI/ML models. Strong analytical thinking and attention to detail. Good command of written and spoken English and Chinese (including Putonghua) Shortlisted candidates will be invited to attend a written test and/or an interview. Those who have responded to the previous advertisement (Ref.: 536670) need not re-apply. What We Offer The appointment will commence as soon as possible on a two-year fixed-term basis, with the possibility of renewal subject to funding availability and satisfactory performance. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totaling up to 15% of basic salary. Housing benefits will be provided as applicable. 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 as soon as possible and continue until September 30, 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

Ref.: 537081 Work type: Full-time Department: Department of Family Medicine and Primary Care, School of Clinical Medicine (22500) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in the Department of Family Medicine and Primary Care, School of Clinical Medicine (Ref.: 537081) (to commence as soon as possible for one year, with the possibility of renewal subject to satisfactory performance) Applicants should possess a Ph.D. degree in the field of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R. They should have an excellent command of written and spoken English, and a demonstrated record of publishing academic research papers. They should be organized, self-motivated, and have the ability to multitask and work independently as well as in a team. Experience in large-scale research project management and development, knowledge of statistics and big data analysis would be highly desirable. The appointee will participate in various pharmacoepidemiology and epidemiological studies to assess the effectiveness and cost-effectiveness of interventions, medication, and health services. They are expected to assist the core project team in planning and coordinating research projects, evaluate territory-wide programs, oversee data collection and analysis, prepare reports and presentations, supervise research assistants, and perform other relevant tasks as assigned. There will be many opportunities to collaborate with research and health professionals to develop a research career in health and health services. If you have any questions about the duties of this post, please contact Prof. Eric Wan at yfwan@hku.hk. 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 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 August 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