Associate Professor/Assistant Professor in Big Data in Environment and Climate Science in the Research Division for Mathematical and Statistical Science (Ref.: 498769)
Applications are invited for appointment as Associate Professor/Assistant Professor in Big Data in Environment and Climate Science in the Research Division for Mathematical and Statistical Science (Ref.: 498769), 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 outstanding candidates for Associate Professor position.
The Faculty of Science provides a supportive and friendly environment and is embarking on a programme of recruitment to invest in areas of acknowledged strength and internationally competitive activity. Information about the Faculty can be obtained at https://www.scifac.hku.hk/.
The Research Division for Mathematical and Statistical Science is one of the six Research Divisions in the Faculty of Science. It covers pure and applied mathematics, statistics and actuarial science. It has strengths in geometry, number theory, optimisation theory, stochastic analysis and biostatistics with key expertise in actuarial science, time series, survival analysis, complex geometry, analytic number theory and optimisation.
Applicants should possess a Ph.D. degree in Statistics, Biostatistics, Computer Science, Computational Biology or related disciplines. They should be able to demonstrate excellence in research in large environmental data, big data in climate science (e.g. air pollution, global warming), spatial statistics, predictive modeling, artificial intelligence and cloud computing etc. The appointee will be hosted in Department of Statistics and Actuarial Science and will work with biologists, earth scientists, climate scientists and marine scientists on interdisciplinary research related to environmental data. The teaching duties will be assigned by the Head of Department of Statistics and Actuarial Science with a reduced teaching load in the first two years 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. A start-up package that is commensurate with the needs and experience of the candidate will be provided. Housing benefits will also be provided as applicable.
The University only accepts online application for the above post. Applicants should apply online at the University’s careers site (https://jobs.hku.hk) and upload a cover letter, together with an up-to-date C.V., which should include hyperlinks to google scholar profiles and ORCID, a detailed publication list since 2014 with journal impact factor and citations indicated for each publication, and a research proposal. Applicants will also be required to arrange three reference letters under confidential cover. 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. Referees should submit their reference letters to https://web.science.hku.hk/job/498769_ref.html (the referee should input the applicant email address which is the same one as in the online application) by December 15, 2019. Review of applications will commence from November 30, 2019, and acceptance of applications will continue until December 15, 2019. Interviews for the positions are expected to be held during the period January 13 – 23, 2020.
The University is committed to diversity and inclusivity. To promote gender diversity and professional advancement of women as well as men, the Faculty of Science expressly encourages qualified persons from both genders to apply.