Applications are invited for appointment as Research Assistant Professor (RAP) / Post-doctoral Fellow (PDF) in the Department of Chemistry, to commence as soon as possible, on a 1 to 3-year temporary basis for PDF, or on a 1-year temporary or a 2 to 3-year fixed-term basis for RAP, with the possibility of renewal subject to satisfactory performance and funding availability. Those with relevant post-doctoral work experience or an excellent publication track record may be considered for appointment as RAP.
Applicants should possess a Ph.D. degree in Computer Science, Biomedical Sciences/Engineering, Electrical Engineering, Medical Physics, or related disciplines with a strong background in artificial intelligence and medical image analysis. Experience in deep learning frameworks (e.g., PyTorch, TensorFlow) and medical image processing is essential. Candidates should demonstrate a track record of peer-reviewed publications in the field of AI for medical imaging. Preference will be given to applicants with experience in multimodal imaging analysis, federated learning, or interpretable AI methods for clinical applications.

The appointee will be expected to (i) develop novel AI approaches for medical image analysis and interpretation; (ii) conduct independent research and collaborate with clinicians to translate AI imaging technologies into healthcare applications; (iii) publish research findings in high-impact journals; (iv) assist in the preparation of research grant applications; (v) contribute to administrative duties as required. Enquiries about the post should be sent to Professor Hongjie Dai. Please reach out to us via the chat box ***, and we will provide you with Prof. Dai's email address for further communication..

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. For RAP, the appointment on fixed term will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary.

The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site and upload an up-to-date CV. Please contact us via the chat box for the website link. Review of applications will commence as soon as possible and continue until June 30, 2025, or until the post is filled, whichever is earlier.