Applications are invited for appointment as Tenure-Track Associate Professor/Assistant Professor in Statistics in the Department of Statistics and Actuarial Science (2 posts) (Ref.: 519748), to commence as soon as possible, 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. Direct tenure may be offered to successful Associate Professor applicants.
The Department of Statistics and Actuarial Science is one of the six departments in the Faculty of Science. We provide a supportive and friendly environment and are embarking on a recruitment programme to invest in areas of acknowledged strength and internationally competitive activity. Information about the Faculty and the Department can be obtained at https://www.scifac.hku.hk and https://saasweb.hku.hk respectively.
Applicants should possess a Ph.D. degree in Statistics, or related disciplines. They should be able to demonstrate excellence in teaching and research in Statistics. Preference will be given to those whose research interests focus on the areas of statistical theory, high-dimensional statistics, semiparametric/nonparametric methods, Bayesian statistics and big data science. The teaching duties will be assigned by the Head of Department with a reduced teaching load in the first year of appointment. Enquiries about the post should be sent to the Head of Department of Statistics and Actuarial Science at firstname.lastname@example.org.
A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual 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, totalling up to 15% of basic salary. Housing benefits will be provided as applicable. A start-up package that is commensurate with the needs and experience of the appointee will be provided.
The University only accepts online application for the above posts. Applicants should apply online and upload (1) a cover letter, (2) an up-to-date C.V which should include hyperlinks to any relevant google scholar profiles and ORCID, a detailed publication list with journal impact factor and citations indicated for each publication, (3) a research statement, (4) a teaching statement, and (5) contact information of at least three referees. It is important to note that at least one of the referees should be able to comment, amongst other things, on the applicant’s research ability and his/her contribution to teaching or research in his/her department, while the remaining two should have knowledge of his/her recent academic or employment experience. Each application will be reviewed on an individual basis. The review process will continue until March 31, 2024 or until the posts are filled.