THE UNIVERSITY OF HONG KONG

Assistant Research Officer, Hong Kong Jockey Club Centre for Suicide Research and Prevention

Location
Pok Fu Lam, Hong Kong
Posted
20 Mar 2019
End of advertisement period
31 Mar 2019
Ref
493811
Contract Type
Fixed Term
Hours
Full Time

The University of Hong Kong 's highest priorities are to create opportunities for the very best academic talents to excel and to advance human knowledge to the benefit of society. We serve the needs of Hong Kong, the wider region and the rest of the world.

Work type: Full-time
Department: The Hong Kong Jockey Club Centre for Suicide Research and Prevention (30002)
Categories: Academic-related Staff

Assistant Research Officer in the Hong Kong Jockey Club Centre for Suicide Research and Prevention (Ref.: 493811) (to commence as soon as possible for one year, with the possibility of renewal)

Applicants should possess a Master’s degree or above in Computer Science, Machine Learning, Mathematics, Engineering, Statistics or a related discipline. They should have experience in big data analytic tools (such as Spark and Hadoop) and integrating social media APIs; data visualization skills; knowledge of Tableau, ggplot, plotly and d3.js; as well as proficiency in R, Python, and SQL.  They should also have an excellent command of written and spoken English and Chinese (including Cantonese) as well as the ability to design, lead and execute analysis as well as communicate insights, ideas and conclusions effectively to team members across the organization, technical and non-technical alike.  Those with work experience in at least 2 of the following areas are preferred: natural language processing (NLP), deep learning, machine learning and statistics.  The appointee will work on the Centre’s research projects on applying big data strategies in preventing suicide and promoting well-being.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.

The University only accepts online application for the above post.  Applicants should apply online and upload an up-to-date C.V. Review of applications will commence immediately and continue until March 31, 2019.