The Department of Surgery is looking for a Research Assistant to work with Dr. Shannon Chan and Dr. Zheng Li and their research teams on the project - 'The Development of an Intelligent System for Real-time Automated Anatomical Recognition System During Endoscopic Ultrasound'.
Applicants should have (i) a Bachelor’s degree in Electrical Engineering, Electronic Engineering, Biomedical Engineering, Computer Science, or related disciplines; (ii) basic programming skill, particularly in Python, OpenCV and PyTorch; (iii) hands-on experience with the development process of a deep learning framework, including data preprocessing and annotation, deep neural network implementation, result evaluation (e.g. use of evaluation metrics / image visualization) etc.; and (iv) the ability to work effectively in a team environment. Knowledge on basic human anatomy is preferred but not essential.
The appointee will assist in (a) image data preprocessing and labelling; (b) exploration and implementation of various deep learning methods / model architectures; and (c) results evaluation for the development of an intelligent, real-time, and accurate anatomical recognition system.
Appointment will initially be made on contract basis for up to one year, renewable subject to satisfactory performance and mutual agreement.
Applicants should provide the following documents in the online application: (1) full curriculum vitae (including academic qualifications and research experience); and (2) copies of academic certificates.
Please contact Dr. Zheng LI (lizheng@cuhk.edu.hk) with email subject titled "EUS project Research Assistant Position Application" for more information.
The University only accepts and considers applications submitted online for the post above via the CUHK career site. For more information and to apply online, please visit http://career.cuhk.edu.hk.
