Faculty Positions
The Hong Kong University of Science and Technology
Kowloon, Hong Kong

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 hiring.

    data.analytics ust.hk. Review of applications will be conducted on a rational basis, and 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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