Data Scientist, Science Unit (Post Ref.: 24/399)

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 aspires to become 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 https://www.ln.edu.hk/.

Applications are now invited for the following post:
Data Scientist, Science Unit

(Post Ref.: 24/399)

The Science Unit ( http://www.LN.edu.hk/scienceunit) would like to invite applications for the above-mentioned post.

The appointee will join the research team led by Prof. Paulina Wong and will be working on a collaborative industry project involved GeoAI research and software development, focused on smart transportation disciplines.

Responsibilities

Undertake smart traffic and transportation project development and research
Responsible for cleansing and analyzing the traffic-related datasets, and create predictive models to forecast trends and identify patterns by using various statistical and analytical GeoAI tools
Assist on prototype design, GeoAI application implementation and overall system integration, database design, programming, testing, refinement and documentation
Develop educational materials and deliver trainings/workshops to students
Provide administrative support and other research-related duties to the supervisor

Requirements

A bachelor’s/master’s degree or above in Information Technology, Computer/Data Science and AI, or other related disciplines
2 to 5 years of solid experience in relevant field with sophisticated skills and knowledge in Python, tensor flow and PyTorch, familiar with AI, ML and DL Models
1 to 2 years of solid experience in database management and the use of database query language such as SQL
Sensitive to data and equipped with data processing capabilities. Have a solid foundation in data analysis and statistical knowledge is preferred
Familiar with GIS and CSDI is preferred but not required
Good command in written and spoken English and Chinese
Preference will be given to those who have demonstrated experience in research project management and academic publication

Salary and Benefits

Commencing salary will be commensurate with qualifications and experience. Fringe benefits, where applicable, include annual leave, medical and dental benefits and mandatory provident fund.

Appointment will be made on contract basis for 9 months with the possibility of a further extension on related research projects.

Application Procedure (online applications only)

Please click "Apply Now" to submit your application. Personal data collected will be used for recruitment purposes only.

We are an equal opportunities employer. Review of applications will continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration.

The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.

Full-time