Tenure-Track Assistant Professor in Big Data Analytics (Ref: 201601515)
Applicants are invited for appointment as Tenure-Track Assistant Professor in Big Data Analytics in the Faculty of Social Sciences (as tenure home) and Faculty of Engineering, to commence from July 1, 2017 or as soon as possible thereafter, on a three-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract.
Professor Terry Lum at firstname.lastname@example.org.
Information of the Faculty of Social Sciences can be obtained at. http://www.socsc.hku.hk/.
A globally competitive remuneration package commensurate with qualifications and experience will be offered, in addition to leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totaling up to 15% of basic salary. Housing benefits will be provided as applicable.
For more information about the position, please contact Professor Terry Lum at email@example.com. Information of the Faculty of Social Sciences can be obtained at. http://www.socsc.hku.hk/.
DESIRED SKILLS AND EXPERIENCE
Applicants should have a Ph.D. degree in Statistics, Computer Science, or a related field, with a strong record of teaching and research in the society, health and mental health using big data analytics.
Preference will be given to those with expertise in advanced statistical modelling and in data sets developed locally (e.g. health or long-term care administrative data), regionally (e.g. China health and mental health) and globally from the UK, Europe or North America.
The appointee will be responsible for teaching at both undergraduate and postgraduate levels, and is expected to be active in research understanding the relationship between the society and health to improve public health outcomes. He/She will contribute to research and teaching in big data analytics in both Faculties.
To submit your application, please click on the “Go to application page” button. Applicants should send a completed application form together with an up-to-date C.V.