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Research Assistant in the Department of Linguistics and Translation (Appointment for 6 months with possibility of extension) [Ref. C/R/190/09]



Neurophysiological Research of Executive Functions in Normal Aging


Collect, input and compile behavioural/electrophysiological data, analyse and compute data by using Excel, SPSS and other statistical packages; prepare research reports based upon data results; and perform any other duties as assigned.


A good honours degree in Cognitive Psychology/Psycholinguistic or related disciplines, with at least 1 year’s relevant working experience.  Strong command of written and spoken English and Cantonese; ability and willingness to learn new software/research methods and handle routines quickly.  Candidates should also be self-motivated, able to work independently with minimum supervision, and ready to work directly with research participants. 

Salary and Conditions of Service

Salary offered will be highly competitive, commensurate with qualifications and experience.  Fringe benefits include leave, medical and dental consultations at the campus clinic.

Information and Application

Further information on the post and the University is available at, or from the Human Resources Office, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Hong Kong [Email : : 2788 1154 or 3442 0311]. 

To apply, please submit an online application at The closing date is 15 February 2019.  Applications will receive full consideration and only shortlisted applicants will be contacted.  The University’s privacy policy is available on the homepage.

City University of Hong Kong is an equal opportunity employer and we are committed to the principle of diversity.  Personal data provided by applicants will be used for recruitment and other employment-related purposes.

Worldwide recognition ranking 55th, and 5th among top 50 universities under age 50 (QS survey 2019); 1st in Engineering/Technology/Computer Sciences in Hong Kong (ARWU survey 2016); and 2nd Business School in Asia-Pacific region (UT Dallas survey 2017).


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