Post-doctoral Fellow in Statistical Modelling - Early Childhood Development University of Hong Kong, Faculty of Education Hong Kong

Ref. : 201800129

Posting Title : Post-doctoral Fellow in Statistical Modelling - Early Childhood Development

Department : Faculty of Education

Closing Date : April 16, 2018

Applications are invited for appointment as Post-doctoral Fellow in Statistical Modelling - Early Childhood Development in the Faculty of Education, to commence on September 1, 2018 for a period of three years.


Applicants should possess a Ph.D. degree in educational evaluation, psychology, mathematics, statistics, economics, social sciences, public health or a related analytical field with strong logical and statistical skills. They should have at least 2 years’ experience in sophisticated statistical modelling. Applicants must be detail oriented and have excellent organizational, written and oral communication skills.


The appointee will be responsible for utilizing existing large datasets, performing advanced statistical analysis and modelling, preparing and analyzing datasets collected from upcoming projects, as well as writing and contributing to manuscripts and grant applications. He/She will be expected to work under the supervision of Professor Nirmala Rao, Professor John Bacon-Shone and Dr. Patrick Ip.


Information about the Faculty can be obtained at Enquiries about the post should be sent to Professor Nirmala Rao, Faculty of Education at


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 Faculty at Application forms (341/1111) can be downloaded at Further particulars can be obtained at Review of applications will commence on March 19, 2018 and continue until April 16, 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.

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