Senior Research Assistant in the Division of Epidemiology and Biostatistics (with Prof. Ben Cowling's Team) of the School of Public Health (Ref.: 504477) (to commence as soon as possible on a one-year temporary basis or two-year fixed-term basis, with the possibility of renewal subject to satisfactory performance)

Applicants should possess a doctoral degree by research (Ph.D., D.Sc., Dr.P.H. or equivalent) in statistics, computer sciences, biostatistics, public health or a related quantitative and computational discipline. Those who are expecting to obtain the doctoral degree by September 2021 are welcome to apply. They must be proficient in data analysis using statistical or mathematical software, such as R and MATLAB. They should have an excellent command of written and spoken English, a demonstrated academic track record, and a keen interest in academic research in the said area. They should be organized, self-motivated, and able to work independently as well as in a multidisciplinary team. Experience in infectious disease modelling and analysis will be an advantage.

The appointee will develop statistical inferential frameworks to estimate epidemiological parameters for assessing the dynamics of COVID-19. He/She will investigate the existing estimation procedures to improve the estimations of these model parameters at real-time scale, and assess the disease dynamics and the impact of the interventions. He/She will also contribute to other projects in the team and perform other research-related duties as assigned. Enquiries about the duties of the post should be sent to Dr. Sheikh Taslim Ali at alist15@hku.hk. Information about the School can be obtained at http://sph.hku.hk/index.php. Shortlisted candidates will be invited to an interview.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointment on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme totalling up to 10% of basic salary.

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 start on July 19, 2021 and continue until September 30, 2021, or until the post is filled, whichever is earlier.