Ref.: 201800957
Posting Title: Post-doctoral Fellow in Big Data Analytics
Department: School of Public Health
Closing Date: September 30, 2018
 

 

Applications are invited for appointment as Post-doctoral Fellow in Big Data Analytics in the School of Public Health, to commence as soon as possible for 2 years.

Applicants should possess a doctoral degree by research (Ph.D., D. Sc., or equivalent) in statistics, computer science, informatics or other related disciplines. They should have a strong quantitative background with demonstrated experience in the analysis of Big Data (for structured data, unstructured data, multimedia data); be familiar with the models used in machine learning; and be proficient in the software and programming tools that are widely used in data analysis, such as SPSS, R, python and tensorflow.  They should also have excellent written and oral communication skills, and the ability to work independently and in collaboration with a multidisciplinary team.  The appointee will be primarily responsible for methodological and applied work in statistical research for data in family and Information and Communication Technology (ICT) behaviors arising from the Jockey Club SMART Family-Link Project. He/She is expected to write scientific publications, assist in writing reports and perform other duties as assigned. 

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

Applicants should send a completed application form together with an up-to-date C.V. to the School at sphhr@hku.hk. Application forms (341/1111) can be downloaded at http://www.hr.hku.hk/apptunit/form-ext.doc. Further particulars can be obtained at http://jobs.hku.hk/. Review of applications will start on July 20, 2018 and continue until September 30, 2018, or until the post is filled, whichever is earlier.

The University thanks applicants for their interest, but advises that only candidates shortlisted for interviews will be notified of the application result.