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Tenure-Track Non-Clinical Associate Professor/Assistant Professor (several posts)

Employer
The University of Hong Kong
Location
Hong Kong
Salary
Competitive
Date posted
Jun 19, 2017

Applications are invited for appointment as Tenure-Track Non-Clinical Associate Professor/Assistant Professor (several posts) in the School of Biomedical Sciences, to commence as soon as possible, on a three-year fixed-term basis, with the possibility of renewal and with consideration for tenure before the expiry of a second three-year fixed-term contract, subject to satisfactory performance.

The new School of Biomedical Sciences, recently established under the Li Ka Shing Faculty of Medicine as of July 1, 2015, aspires to continue the trajectory of scaling new heights in research excellence and to transcend departmental boundaries in the delivery of teaching and curriculum development following the amalgamation of the pre-clinical Departments of Anatomy, Biochemistry and Physiology.  In the 2014 UGC Research Assessment Exercise (RAE), the Pre-clinical Cost Centre of the Li Ka Shing Faculty of Medicine was rated as one with the highest percentage of staff members ranked with '4 star' (world leading) and '3 star' (internationally excellent) in terms of research output items, externally peer-reviewed grants and esteem measure under the Health Sciences Panel.  The Pre-clinical Cost Centre is also among one of those rated with the highest RAE scores in HKU. Further information about the School regarding its organization, research clusters, involvements in postgraduate research training and undergraduate teaching can be obtained at http://www.sbms.hku.hk/.

Applicants should possess: (i) a doctoral degree or equivalent in a related discipline; (ii) evidence of international recognition and a strong record of scholarship with a demonstrated ability to work across disciplines towards new research initiatives; (iii) a strong commitment to engage students in inquiry-based learning at both undergraduate and postgraduate levels; and (iv) a strong track record of high-quality research as indicated by publication record and external grants.  The appointees are expected to participate in teaching biomedical sciences subject relevant to human health and diseases spanning basic biochemical, cellular and molecular biology to whole body organization and homeostasis, across a wide range of undergraduate and postgraduate degree programmes including medical, biomedical sciences, pharmacy, nursing and/or Chinese medicine.  They will also be expected to establish an innovative and well-funded research group that is open to interdisciplinary collaboration.  Research should be at the forefront of biology and medicine, spanning basic molecular and cellular processes, developmental and stem cell biology, cancer, body defense system, neuroscience, bioinformatics and bioengineering. In the course of career development, the appointees are expected to make substantial contributions to the School’s strategic developments in academic and research collaborations locally, regionally and internationally.  A highly competitive start-up package will be offered.  Those who have responded to the previous advertisement (Ref.: 201501311) need not re-apply.

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

Applicants should send a completed application form together with an up-to-date C.V. to sbmsapts@hku.hk. Application forms (341/1111) can be downloaded at http://www.hku.hk/apptunit/form-ext.doc.  Further particulars can be obtained at http://jobs.hku.hk/.  Review of applications will start from April 6, 2017 and continue until August 23, 2017.

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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