Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) and has the longest established tradition among the local institutions of higher education.
It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world.
Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations.
Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies.
To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students.
With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future.
Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies.
Further information about Lingnan University is available at .
Applications are now invited for the following posts:
Assistant Teaching Officer
Division of Industrial Data Science
(Post Ref.: 25/188)
Responsibilities
The appointee is expected to:
•Engage in teaching, learning and scholarly activities
• Support outreach and publicity efforts of the programme
• Assist in organizing student activities/workshops/events to enhance students’ learning experience
• Undertake administrative duties in academic and departmental level
• Perform any other duties as assigned by the Person in Charge of Division of Industrial Data Science or his/her delegates
Requirements
• Have a recognized bachelor’s degree related to engineering, computer science, data analytics or related disciplines
• An excellent command of both written and spoken English
• Good communication and interpersonal skills
• Be able to demonstrate a strong commitment
• Preference will be given to those with work experience in engineering
Salary and Benefits
The commencing salary will be competitive and commensurate with qualifications and experience.
Fringe benefits, where applicable, include annual leave, medical and dental benefits, mandatory provident fund, and gratuity.