Professor/Associate Professor/Assistant Professor in Quantitative Remote Sensing

  • Contract
  • FullTime


Work type: Full-time
Department: Department of Geography (30900)
Categories: Professoriate Staff

Tenure-Track Professor/Associate Professor/Assistant Professor in Quantitative Remote Sensing in the Department of Geography (Ref.: 521090)

Department of Geography

Founded in 1931, the Department of Geography at HKU has consistently ranked among the leading geography departments worldwide. According to the 2023 QS World University Ranking, the Department is ranked 13th  among the top 200 universities in the domain of geography and area studies. The Department offers an extensive array of Bachelor’s, Master’s, and Doctoral programmes, and is currently witnessing unprecedented growth. A recent initiative includes the introduction of a Master of Science programme in Geospatial Data Sciences. Our faculty members are actively engaged in a variety of research fields, emphasizing three primary themes: Geospatial Data Sciences (e.g., satellite remote sensing, geographical information science), Environmental Change & Sustainability, and Cities, Culture & Society. The Department’s scholarly endeavours are well supported by a Cartographical Library, and four state-of-the-art specialized laboratories. To learn more about the Department, please visit .

The Position

We now invite applications for appointment as Professor/Associate Professor/Assistant Professor in Quantitative Remote Sensing in the Department of Geography.

Duties and Responsibilities

The appointee will teach at undergraduate and postgraduate levels, supervise research postgraduate students, contribute actively to research and knowledge exchange, and assume service/administrative responsibilities as appropriate. Those appointed at a senior level will also lead collaborative and interdisciplinary initiatives in research and knowledge exchange, mentor and nurture the next generation of scholars and researchers, and assume high-level service/administrative responsibilities relevant to the Department’s operation and strategic development.


Applicants should possess a Ph.D. degree in Geography or cognate disciplines with strength/expertise in quantitative remote sensing. They should have expertise in inversion methodology for estimating land essential variables from satellite observations and generation of global land products. Experience in exploring deep learning methods and handling Earth observation big data is required. They should also have extensive research and teaching experience at the tertiary level, with a strong track record in reputable research grants and publications. For appointment at Assistant Professor rank, at-least 2-3 years of research experience as a Postdoctoral Fellow is strongly desirable.

What We Offer

The appointment will be made on fixed-term full-time contract for 3 years initially, to commence in January 2024 or as soon as possible thereafter, with the possibility of renewal and consideration for tenure before the expiry of the second three-year fixed-term contract. Exceptionally outstanding candidates at Professor/Associate Professor level may be considered for appointment on tenure terms.

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. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries. 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 research plan for the next three years, (4) a statement on teaching philosophy, and (5) outlines of three proposed undergraduate courses. Review of applications will commence on October 1, 2023, and continue until the position is filled. For further enquiries, please contact the Head of the Department, Professor Shunlin Liang at [email protected] .

To help us track our recruitment effort, please indicate in your email – cover/motivation letter where ( you saw this job posting.