University of Hong Kong

Ref.: 536999 Work type: Full-time Department: Department of Geography (30900) Categories: Professoriate Staff Tenure-Track Assistant Professor in Physical Geography (Ref.: 536999) About the Department Founded in 1931, the Department of Geography at the University of Hong Kong (HKU) has consistently ranked among the world's leading geography departments. According to the 2026 QS World University Rankings by Subject, the Department is ranked 11th globally, 2nd in Asia, and 1st in Hong Kong; in the 2025 ShanghaiRanking's Global Ranking of Academic Subjects (GRAS), it is ranked 14th in Geography and 11th in Remote Sensing worldwide. HKU is ranked 11th overall in the 2026 QS World University Rankings. The Department offers comprehensive bachelor's, master's, and doctoral programmes and is experiencing strong growth, including the recent launch of a Master of Science in Geospatial Data Sciences. Faculty members are actively engaged in research spanning three key themes: Geospatial Data Sciences (e.g., remote sensing and Geographic Information Science [GIS]), Environmental Change and Sustainability, and Cities, Culture and Society. The Department's scholarly work is supported by a Cartographical Library and four laboratories. For more information, please visit www.geog.hku.hk. The Position Applications are invited for a Tenure-Track Assistant Professor in Physical Geography, to commence as soon as possible. The Department seeks a dynamic and innovative scholar with a strong foundation in physical geography and demonstrated expertise in applying artificial intelligence (AI) to pressing environmental challenges. The successful candidate will bridge physical geography with cutting-edge computational and AI-driven methodologies, contributing to the Department's strategic vision of integrating geospatial data sciences with environmental and sustainability research. Duties and Responsibilities The successful candidate will be expected to: Conduct high-impact, internationally recognised interdisciplinary research in physical geography, addressing geographic questions in areas such as land-atmosphere interactions, environmental change, and Earth surface system science. Publish consistently in top-tier, peer-reviewed international journals. Develop and secure competitive external research funding. Teach at both undergraduate and postgraduate levels, contribute to curriculum development, and design new courses relevant to the Department's programmes. Supervise postgraduate research students, including MPhil and PhD students. Engage in interdisciplinary collaboration across the Department's three research themes and with external partners. Contribute to departmental service, administration, and knowledge exchange activities. Requirements Applicants must: Hold a PhD in Geography, Earth System Science, Environmental Science, or a closely related discipline. Demonstrate strong expertise in physical geography, such as climate change, biogeography, hydrology, land surface processes, planetary health, or environmental systems. Have a strong record of high-impact publications in reputable international peer-reviewed journals. Demonstrate experience in, or clear potential for, securing competitive research grants. Have experience in, or show clear potential for, university-level teaching and postgraduate student supervision. Candidates with 2-3 years of postdoctoral experience are preferred. Experience with AI-driven Earth observation data analysis, physically based modelling, ecological and carbon cycle research, public health research, or environmental monitoring systems will be considered an advantage. Terms of Appointment The appointment will be made on a fixed-term, full-time contract for an initial period of three years, with the possibility of renewal and consideration for tenure before the expiry of the second three-year fixed-term contract. 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 a University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. Housing benefits will be provided, as applicable. How to Apply The University only accepts online applications for the above post. Applicants should apply online and upload: (1) an up-to-date CV; (2) a cover letter; (3) a three-year research plan; (4) a statement of teaching philosophy; (5) outlines of three proposed undergraduate courses; and (6) contact information for three referees. Review of applications will begin on 1 October 2026 and continue until the position is filled. Enquiries may be directed to Professor Shunlin Liang, Head of Department, at shunlin@hku.hk.

Ref.: 536885 Work type: Full-time Department: Department of Medicine, School of Clinical Medicine (20600) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in the Department of Medicine, School of Clinical Medicine (Ref.: 536885) We now invite applications for the captioned post. Duties and Responsibilities Lead advanced statistical analyses of clinical data Coordinate data acquisition, build analytical pipelines, and prepare scientific abstracts and manuscripts Perform other duties as assigned Requirements A Ph.D. degree in Biostatistics, Statistics, Epidemiology, Public Health, Pharmacy and Pharmacology or related fields Proven track record of publications in clinical statistics Proficiency in programming such as R and/or Python A good command of written and spoken English What We Offer The appointment will commence as soon as possible on a 1-year temporary basis, with the possibility of renewal subject to satisfactory performance and funding availability. A highly competitive salary commensurate with qualifications and experience will be offered. 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 on start from August 11, 2026 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 Applications close: Aug 31, 2026 (HK Time)

Ref.: 536944 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 in the Department of Microbiology, School of Clinical Medicine (Ref.: 536944), to commence as soon as possible for two to three years, with the possibility of renewal and promotion subject to funding availability and satisfactory performance. This position is primarily computational/dry-lab. The successful candidate will work closely with our wet-lab team to address key questions of the field. Candidates with a hybrid background (strong computational skills plus hands-on molecular/virology experience) are particularly encouraged to apply, but pure computational biologists are also welcome. Requirements Applicants should possess a Ph.D. degree in Virology, Immunology, Microbiology, Pathogen Biology, Bioinformatics, Computational Biology, Mathematics, Computer Science, or a related discipline. They should be responsible, self-motivated, attentive to detail, and a strong command of English. The candidate must possess a strong publication record that demonstrate their capacity of using bioinformatic platforms in life science research. The candidate should be proficient in at least one programming language (e.g., R, Python, C, or C++). The candidate should have strong expertise in at least one of the following thematic areas (expertise in multiple is a plus, but not required): Multi-omics & Single-cell Analysis: Processing and interpretation of multi-omics and single-cell datasets (e.g., scRNA-seq) to investigate cellular heterogeneity, host-pathogen interactions, and immune responses.  Structural Bioinformatics & Biophysical Modeling: Protein structure prediction (e.g., AlphaFold, RoseTTAFold, ESMFold), molecular dynamics (MD) simulations, or protein-protein/antigen-antibody docking to investigate viral spike/capsid architecture, thermal stability, and immune epitope accessibility. AI/Deep Learning: ML/DL model development (e.g., PyTorch, Lightning) for predicting antigenicity, genetic variation, and viral evolution. Genomics & Bioinformatics: Viral genome-based evolutionary analysis, Linux/HPC-based analysis, and NGS workflow development (e.g., Snakemake, Bash). Key Responsibilities The appointee will join a vibrant multidisciplinary team focusing on emerging infectious diseases. He/She will be working on studies focusing on virus-host interaction, pathogenic determinants, and/or virus evolution. He/She will be expected to independently lead research projects in the aforementioned areas, write manuscripts, assist in grant applications, and co-supervise junior researchers and graduate students. Recent representative works of the group include Nat Commun, 2025, PMID:41381428; Nat Commun, 2025, PMID: 40670362; PNAS, 2025, PMID: 40402245; Nat Commun, 2024, PMID: 39379369; Sci Adv, 2023, PMID: 36662861; Nature, 2022, PMID: 35062016; Nature, 2022, PMID: 35922005. For enquiries about the duties of the post, please contact Prof. Hin Chu (https://hkumicro.hku.hk/university-staff/dr-chu-hin/) at hinchu@hku.hk. 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 applications for the above post. Applicants should apply online and upload: An up-to-date CV; Two reference letters from academic supervisors (preferably including one from the Ph.D. supervisor); Relevant supporting documents (academic transcripts, publication list, research experience, and representative outputs). Review of applications will start as soon as possible and continue until December 31, 2026, or until the post is filled, whichever is earlier.