Postdoctoral Fellow / Research Associate
Job Highlight
Job Description
Applicants should have (i) a PhD degree in Data Science, Bioinformatics, Computer Science, Computer Engineering, Nursing, Clinical Psychology, Public Health, or a health-related discipline (for Postdoctoral Fellow); or a Master’s degree in the abovementioned disciplines plus a minimum of four years of post-qualification research experience(for Research Associate); (ii) demonstrated expertise in research grant proposal writing, manuscript preparation, and research project coordination; (iii) a publication record utilising quantitative and/or qualitative research methodologies; and (iv) fluency in both written and spoken English and Chinese (including Cantonese). Proficiency in statistical software (e.g., SPSS) and programming languages (e.g., R, Python, Matlab, Java) is highly preferred.
The appointee will be responsible for (a) developing and executing innovative psychotherapeutic techniques and integrating technology to create scalable mental health solutions; (b) conducting research; (c) assisting in data analysis; and (d) contributing to the writing of research grant proposals, project reports and academic publications.
Applicants must submit the following documents in the online application: (1) an up-to-date academic curriculum vitae; (2) a publication record; and (3) all academic certificates and qualifications as stated above, otherwise their applications will NOT be considered.
Appointment will initially be made on contract basis for one year commencing as soon as possible, renewable subject to satisfactory performance and mutual agreement.
The University only accepts and considers applications submitted online for the post above via the CUHK career site. For more information and to apply online, please visit http://career.cuhk.edu.hk.
The information provided will be treated in strict confidence and be used only for consideration of your application for relevant / similar posts within the Group/ Company.
Job Function | |
Work Location | Sha Tin |
Education |
Postgraduate
|
Spoken Language | Fluent Cantonese / Fluent English / Fluent Mandarin |
Written Language | Fluent Chinese / Fluent English |
Employment Type | Full Time |
Industry | Education / Training |