University of Hong Kong

Ref.: 537396 Work type: Full-time Department: Department of Data and Systems Engineering (14400) Categories: Teaching Staff Applications are invited for appointment as Senior Lecturer / Lecturer in the Department of Data and Systems Engineering (Ref.: 537396), to commence as soon as possible on a three-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability. The Department of Data and Systems Engineering is one of the five engineering departments in the Faculty of Engineering, offering B.Eng., M.Sc., M.Phil. and Ph.D. programmes in all major fields of data and systems engineering. The Department has strong research programs and excellent facilities for teaching and research. Information about the Department can be obtained at http://www.dase.hku.hk/. Applicants should possess a Ph.D. degree in systems engineering, data science, industrial engineering, computer science or a related field, with a strong commitment to quality teaching. They should also have good interpersonal and communication skills in written and spoken English; and should be self-motivated, highly-organized and a good team player. Priority will be given to those who demonstrate strong track record of teaching experiences and skills in experiential learning. Those with more than five years of teaching experience at the tertiary level (or in an equivalent professional setting) who demonstrate outstanding pedagogical skills and leadership in curriculum design may be considered for appointment as Senior Lecturer. The appointee is expected to teach courses in, but not limited to, three subject clusters: (1) systems analytics including computing and programming, operations research, intelligent decision and analytics, industrial optimization; (2) cyber-physical systems including robotics and automation, IoT (Internet of Things), digital twins, cyber-physical systems, and smart industrial systems; and (3) engineering management including project management, quality management, operations management, supply chain and logistics management, and engineering economics. The appointees will be responsible for delivering quality teaching at both undergraduate and postgraduate levels. Duties include: Delivering high-quality teaching and contributing to course design for undergraduate and postgraduate courses; Supervising student projects; Driving curriculum development and actively participating in knowledge exchange activities; and Contributing to departmental committees and administrative duties. 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 on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary Housing benefits will be provided for appointment as Senior Lecturer as applicable. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Applicants are highly encouraged to submit their applications as soon as possible. Review of applications will commence as soon as possible and continue until January 31, 2027, or until the post is filled, whichever is earlier.

Ref.: 537425 Work type: Full-time Department: Department of Anaesthesiology, School of Clinical Medicine (20100) Categories: Professoriate Staff Applications are invited for appointments as Tenure-Track Clinical Professor/Clinical Associate Professor/Clinical Assistant Professor (several posts) in the Department of Anaesthesiology, School of Clinical Medicine (Ref.: 537425), to commence as soon as possible, on a four-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and consideration for tenure before the expiry of a second four-year fixed-term contract. Applicants should possess a medical qualification registrable with the Medical Council of Hong Kong, with the attainment of the status as Fellow of the Hong Kong Academy of Medicine or equivalent. Those with a higher academic qualification (e.g. MD, MS, PhD) would be preferred. Applicants for the post of Clinical Professor should have a distinguished and sustained record of high-quality impactful research, as indicated by publications and competitive grants, with demonstrated clinical excellence in anaesthesia and/or pain medicine. They should have also achieved international recognition for scholarship and professional expertise; and be able to demonstrate a strong commitment to, and evidence of, excellence in teaching, curriculum development, capacity building, mentoring early career researchers and supervision at both undergraduate and postgraduate levels. Applicants for the post of Clinical Associate Professor/Clinical Assistant Professor should display strong research track record, clinical skills in anaesthesia and/or pain medicine, and experience in teaching. Proven capacity to initiate and contribute to basic, clinical and/or translational research is essential.  The appointees will focus on the education of medical students, postgraduate teaching and supervision, as well as academic research. They may be assigned to discharge duties at hospital(s) and clinic(s) affiliated with HKU Health System. 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 appointments will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. A monthly cash allowance will be offered to the successful candidates. Housing benefits will also be provided as applicable. The University only accepts online application for the above posts. Applicants should apply online at the University’s career site (https://jobs.hku.hk) with (i) an executive summary outlining their most outstanding accomplishments and qualifications; (ii) an up-to-date C.V. together with a publication list highlighting their best publications in recent years; (iii) contact information of at least 3 referees; and (iv) a 1-page description of their future research and career plan. Review of applications will start from December 5, 2026 and continue until 31 January, 2027, or until the posts are filled, whichever is earlier.

Ref.: 537606 Work type: Full-time Department: Department of Geography (30900) Categories: Senior Research Staff & Post-doctoral Fellow Research Assistant Professor in the Department of Geography (Ref.: 537606) We invite applications from highly motivated and accomplished researchers for a Research Assistant Professorship in the Department of Geography. This position is ideal for researchers who aim to develop an independent research programme at the intersection of Geospatial Artificial Intelligence, Remote Sensing, and Geospatial Data Science. The successful candidate will contribute to the development of intelligent models that learn from large-scale and heterogeneous geospatial data and support scientific discovery and real-world applications. We now invite applications for the captioned post(s). Duties and Responsibilities Develop deep learning methods for complex geospatial and environmental problems. Develop geospatial foundation models using large-scale and heterogeneous geospatial data, including satellite imagery, multi-sensor time series, geographic datasets, and global land-surface products. Design deep learning and multimodal models for long-term, multi-source remote sensing time series. Incorporate geographical knowledge, physical principles, and process-based constraints into deep learning models. Explore foundation models and deep learning for interdisciplinary applications in agriculture, environmental monitoring, disaster monitoring, and sustainable development. Lead independent research projects and supervise postgraduate students. Develop collaborations across geography, computer science, environmental science, and related disciplines. Secure external research funding. Publish original research articles in leading journals. Requirements A Ph.D. in Geography, Remote Sensing, Geoinformatics, Computer Science, or a related field. At least two years of postdoctoral or equivalent research experience, with a strong record of peer-reviewed publications. Strong programming and computational skills in Python and deep learning frameworks such as PyTorch or TensorFlow. Experience working with large-scale geospatial or environmental datasets. Experience with deep learning methods for geospatial applications, including Transformer architectures, geospatial foundation models, self-supervised learning, and multitask learning. A strong interest in interdisciplinary research and the ability to connect methodological innovation with real-world geospatial and environmental applications. Proven ability to work independently and collaboratively. What We Offer The appointment will commence as soon as possible on a temporary basis for 1 year, 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(s). 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 October 31, 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.