Post-doctoral Fellow (PDF) in the Division of Epidemiology and Biostatistics

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)