Department of Land Surveying and Geo-Informatics
Research Assistant Professor in Geomatics / Artificial Intelligence / Climate Change / Hazards / Coastal Cities
(Ref. 241004036)
The Department of Land Surveying and Geo-Informatics (LSGI) is widely considered as a centre of excellence in both education and research in Geomatics and related fields. The Department offers a range of academic programmes to both local and overseas students, including Bachelor of Science (Honours) in Land Surveying and Geo-Informatics, Master of Science in Geomatics, Master of Science in Urban Informatics & Smart Cities and Doctor of Philosophy. LSGI has a very strong research programme that encompasses research activities in the areas of urban informatics, spatial big data analytics, geographical information science, satellite positioning, ubiquitous positioning, photogrammetry and remote sensing, geodesy and geodynamics, environmental monitoring, geo-hazards studies, intelligent transport systems, smart city, utility system management, location-based services, geographical social science and near-surface geophysical survey. LSGI has a number of well-equipped research and teaching laboratories. Please visit the website at https://www.polyu.edu.hk/en/lsgi/ for more information about the Department.
The Department is seeking a highly motivated and suitably qualified individual with research expertise in one or more of the following areas: Geomatics; Artificial Intelligence; Climate Change; Hazards; Coastal Cities.
Duties
The appointee will be required to:
(a) conduct research as the main duty and actively pursue external research grants, such as General Research Fund, as Principal Investigator or Co-Investigator;
(b) provide quality teaching at undergraduate or postgraduate level;
(c) contribute to departmental service; and
(d) perform any other duties as assigned by the Head of Department or his/her delegates.
Qualifications
Applicants should:
(a) have a PhD degree in Ecology, Meteorology and Climatology, Natural Resources, Agricultural or Forestry Engineering, Geography, Geoscience, Environmental Science, Planning, Remote Sensing, GISci, Computer Science, Statistics or a related field;
(b) have strong background in quantitative data analysis, mathematical modeling, and experience in methodologic development and implementation;
(c) be able to demonstrate a high level of creative ability in research in some subdivisions of his/her field;
(d) be able to demonstrate effective classroom teaching skills using English as a medium of instruction; and;
(e) be highly proficient in written and spoken English.
Preference will be given to those with (i) strong background in quantitative methods, geospatial methods, AI and machine learning; (ii) experience in high-performance and cloud computing; (iii) skills in mathematical modeling and scientific computing; (iv) an ability to work both independently and collaboratively with an interdisciplinary research team; (v) strong publication record (at least two first-authored publications in reputed, international peer-refereed journals); and (vi) familiarity with scientific methods and discovery process.
Conditions of Service
A highly competitive package including a medical benefits plan and a gratuity payable upon completion of the term which is normally for two to three years initially, with possibility of extension.
Consideration of applications will commence on 17 October 2024 until the position is filled.
Posting date: 4 October 2024