Research Assistant Professor

Department of Computer Science and Engineering

Job ID: 10428

Applications are invited for a Research Assistant Professor position at HKUST Smart Lab. The successful candidate is expected to undertake world-class research in AI for Healthcare/Science, particularly in Computational Pathology and Multi-omics; be involved in supervising and collaborating with Post-doctoral Fellows and postgraduate students in relevant research areas; and manage research grants.

Applicants should have a PhD degree in computer science or a closely related field, and proven potential in research and project management. Strong candidates in deep learning, computer vision, and medical image analysis will be considered. (Duration: 1 - 2 years, renewable)

The University is committed to increasing the diversity of its faculty, and has a range of family-friendly policies in place.

More information about the Smart Lab and medical AI research projects can be found at https://hkustsmartlab.github.io/.

Starting salary will be commensurate with qualifications and experience. Fringe benefits including annual leave, medical and dental benefits will be provided. A gratuity will be payable upon successful completion of contract.

Application Procedure

In support of a green work environment, we accept applications submitted online only. To apply, please complete an online application form through the HKUST Careers website and return it online to the Human Resources Office on or before Tuesday, 31 December 2024 with (i) a cover letter, (ii) a curriculum vitae (including the names and contact information of at least 3 referees), and (iii) a research statement (all in PDF format). Applicants will receive an acknowledgment by email upon successful submission. We thank applicants for their interest, but advise that only shortlisted candidates will be notified of the result of the application.

(Information provided by applicants will be used for recruitment and other employment-related purposes. Applicants should read the Personal Information Collection Statement before submission of application.)