Research Assistant Professor in AI and Computer Vision for Smart Cities
The Hong Kong Polytechnic University (PolyU) is a government-funded tertiary institution in Hong Kong. It offers programmes at various levels including Doctorate, Master’s and Bachelor’s degrees. It has a full-time academic staff strength of around 1,200. The total annual consolidated expenditure budget of the University is in excess of HK$7.6 billion.
DEPARTMENT OF LAND SURVEYING AND GEO-INFORMATICS
Research Assistant Professor in AI and Computer Vision for Smart Cities / Intelligent Robotics and IoT for Smart Cities (four posts)(Ref. 21062313)
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 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. There are currently 18 academic staff, 12 supporting members, and 140 research staff and PhD students in the Department. The total student number is over 500. LSGI has a number of well-equipped research and teaching laboratories. Please visit the website at http://www.lsgi.polyu.edu.hk for more information about the Department.
The Department is seeking a highly motivated and suitably qualified individual with research expertise in one of the following areas: Land Surveying, Geographic Information Technology,Spatial Data Science, and Near-surface Geophysical Surveying on Underground Utilities.
The appointees 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 service of the Department and the Smart Cities Research Institute (SCRI); and
(d) perform any other duties as assigned by the Head of Department, the Director of SCRI or their delegates.
(a) have a doctoral degree in a related discipline;
(b) have demonstrated promise of a high level of creative ability in research and teaching in some subdivisions of his/her field;
(c) be able to demonstrate effective classroom teaching skills; and
(d) be highly proficient in written and spoken English.
Remuneration and 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 three years initially, with possibility of extension for another three years. Applicants should state their current and expected salary in the application.
Please send a completed application form by post, providing the names and addresses of three referees, to Human Resources Office, 13/F, Li Ka Shing Tower, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong or via email to firstname.lastname@example.org. Application forms can be downloaded from http://www.polyu.edu.hk/hro/job/en/guide_forms/forms.php. If a separate curriculum vitae is to be provided, please still complete the application form which will help speed up the recruitment process. Consideration of applications will commence in July 2021 until the positions are filled. The University’s Personal Information Collection Statement for recruitment can be found at http://www.polyu.edu.hk/hro/job/en/guide_forms/pics.php.
PolyU is an equal opportunity employer committed to diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, nationality, family status or physical or mental disabilities.