JobMarket版 - HKUST School of Science - Cluster Hiring in Data Analytics for Biological and Physical Science |
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发帖数: 1 | 1 Founded in 1991, The Hong Kong University of Science and Technology (HKUST)
is a world-renowned international research university in Asia’s most
vibrant city. The University comprises more than 600 faculty members whose
research ranges from science to engineering, business, humanities and social
sciences. It promotes interdisciplinary studies, with dedication to
educating all-rounded students to acquire a strong entrepreneurial spirit
and innovative thinking with a global outlook. HKUST has been ranked among
the top universities in Asia by QS Asian University Rankings. It ranked
16th in the 2018 Global University Employability Survey reported by the New
York Times, and remained No. 1 in Greater China area. English is the medium
of teaching, research and administration.
HKUST has embarked on a cluster hiring plan to recruit multiple faculty
members in data analytics for biological and physical sciences in the School
of Science since the end of 2018. While the School has successfully
engaged several outstanding faculty members in the last search, we are
committed to continue looking for high caliber candidates to establish a
strong team in this cross-disciplinary area.
As a rapidly increasing trend, research at the forefront in biological and
physical sciences produces huge datasets. The success of these research
projects thus highly relies on the development of data analytics tools to
rapidly and accurately extract useful information from large datasets. As
primary beneficiaries of new concepts in data science, the applications in
biological and physical sciences reciprocally push the boundaries of data
science. Therefore, the development in the area of data analytics can
greatly benefit multiple disciplines at HKUST including Mathematics,
Chemistry, Life Science, Physics and Ocean Science. To this end, we are
looking for top-tier researchers who are capable of assembling different
knowledge domains and become the agents that can, and will, facilitate cross
-disciplinary collaborations between all departments, bringing biological,
physical and mathematical sciences together and closer to industry.
Applications are invited for substantiation-track faculty positions at all
ranks of Professor/Associate Professor/Assistant Professor at the School of
Science. Joint appointments in more than one academic department are
encouraged especially for senior hires. Successful candidates should have a
PhD degree in related fields and preferably have demonstrated a solid
research track record in data analytics. He/She is expected to develop
cutting-edge data analytics tools for biological and physical sciences. The
areas of focus include biological structures and dynamics; data-driven
quantum chemistry tools; information physics; genome-mining based bioactive
compound discovery; molecular and interaction networks; ocean data analytics
; ocean data mining and visualizations; digital pathology and genome
analysis; health informatics; cheminformatics; bioinformatics, and image
analysis. Apart from an exceptional research record, successful candidates
should demonstrate strong potential in teaching.
HKUST offers highly competitive salary commensurate with qualifications and
experience. Fringe benefits include annual leave, medical and dental
benefits. Housing benefits will also be provided where applicable. Initial
appointment for Assistant Professor will normally be on a three-year
contract, renewable subject to mutual agreement. A gratuity will be payable
upon successful completion of contract.
Application Procedure
Applications should include a full CV, statement of research, statement of
teaching, and arrange three letters of recommendations to the Search
Committee for Cluster Hire in Data Analytics for Biological and Physical
Sciences, by e-mail to [email protected] Candidates are
strongly encouraged to submit their applications by 13 December 2019, and
review of applications will begin immediately afterwards. However,
applications will be accepted until the positions are filled.
(Information provided by applicants will be used for recruitment and other
employment-related purposes.) |
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