Applications are invited for appointment as Tenure-Track Associate Professor/Assistant Professor in the Department of Data and Systems Engineering (Ref.: 531099), to commence as soon as possible 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.
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 research, teaching and services. The positions are open to all research areas in Data and Systems Engineering, especially data analytics and computing, robotics and automation, artificial intelligence, human and machine cooperation, and human factors. Candidates with experiences in the applications of logistic, supply chain, intelligent transportation, manufacturing automation, construction, services engineering, health care, and smart city are highly preferred. The appointee will be expected to teach undergraduate and postgraduate courses, supervise graduate students, conduct research projects, attract external funding to support research, and provide institutional and professional services.
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 15% of basic salary. Housing benefits will be provided as applicable.
The University only accepts online application for the above posts. Applicants should apply online and upload an up-to-date C.V., a research statement and a teaching statement. For additional information on the application, please contact the DASE Search Committee at [email protected]. Applicants are highly encouraged to submit their applications as soon as possible. Review of applications will start as soon as possible and continue until December 30, 2025 or until the posts are filled, whichever is earlier.
