Applications are invited for appointment as Post-doctoral Fellow (PDF) in the Division of Epidemiology and Biostatistics, School of Public Health (Ref.: 537663), to commence as soon as possible on a one-year or two-year temporary term contract, with the possibility of renewal subject to funding availability and satisfactory performance.
Applicants should possess a Ph.D. degree in public health, epidemiology, biostatistics, computer science, or related disciplines, with a proven research track record. Strong communication skills and a good command of spoken and written English are essential. Proficiency in programming and data analysis using Python or R is required. Applicants should be organized, attentive to details, responsible, self-motivated, and be able to work independently as well as in a team. Prior experience in applying natural language processing or large language models (LLMs) to clinical information extraction is required.
The appointee will serve as a key member of a multidisciplinary team conducting research on the development and evaluation of natural language processing analytics to improve clinical workflows. The research focuses on developing AI solutions that convert lengthy, free-text clinical notes into structured formats for LLM-based human-in-the-loop cancer risk and staging classification.
Major responsibilities include:
- Acquiring, preparing, and annotating clinical text and datasets.
- Developing and evaluating natural language processing methods, and working collaboratively with clinicians to assess the accuracy, clinical relevance, and usability of the model outputs.
- Supporting population-based epidemiological research related to cancer, investigating the application of AI-generated structured data in ongoing clinical research.
- Facilitating interdisciplinary collaborations across departments (such as Computer Science, Clinical Medicine, Clinical Oncology, and Surgery) and fostering partnerships with healthcare providers to support real-world clinical implementation.
- Recruiting research participants, undertaking project coordination, and preparing manuscripts for dissemination in international peer-reviewed journals.
Enquiries about the duties of the post should be sent to Ms Audrey Ho at audreyh@hku.hk.
A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.
The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date CV. Review of applications will start as soon as possible and continue until December 31, 2026, or until the post is filled, whichever is earlier.
Advertised: Nov 3, 2026 (HK Time)
Applications close: Dec 31, 2026 (HK Time)
