Part-time Lecturer (Digital Services)
- Computer Vision (CV)
- Large Language Models (LLMs)
Major Duties:
(a) To perform teaching and training duties;
(b) To prepare lesson plan;
(c) To develop and prepare training materials;
(d) To design and organise training activities; and
(e) To prepare training reports and review evaluations.
Requirements:
(a) A recognised degree in Computer Science / Computing / Data Science / Artificial Intelligence or equivalent professional qualification, preferably with a post-graduate qualification;
(b) At least 3 years’ relevant work experience in well-established corporations or training experience in related subjects;
(c) Solid experience with tools and frameworks, e.g. OpenCV, PyTorch, TensorFlow, Llama, Hugging Face Transformers, LangChain etc.
(d) Strong presentation skills; and
(e) Good communication skills and the ability to motivate students are definite advantages.
Application Procedures:
A completed application form [VTC-1 (Rev. 11/2024)], together with a full curriculum vitae should be sent to the Recruitment Team, Institute of Professional Education and Knowledge, 9/F, VTC Tower, 27 Wood Road, Wanchai, Hong Kong or by email to peak-hr@vtc.edu.hk. Please specify on the envelope or in the subject of the email, whichever is appropriate, the reference of the post being applied for.
Candidates who would like to submit their applications through email are requested to take note of the following:
(1) Completed application form (VTC-1) and detailed curriculum vitae (CV) should be combined into one file in PDF format with a file size below 10MB.
(2) The file should be saved with the applicant’s name as “surname and given name”, e.g. “CHAN Tai Man.pdf”.
(3) For the email subject, please cite “Application for Part-time Lecturer (Digital Services) (Ref. no.: O/PEAK/PT_L(DS)/05/25)”.
(4) Original and copy of other supporting documents are to be provided at a later stage upon request.
Closing date for application: 18 May 2025
Applicants not invited for interview within 10 weeks from the closing date may consider their applications unsuccessful.
The Council reserves the right not to fill the post(s).
Personal data collected will be used for recruitment purposes only. Information on unsuccessful candidates will normally be destroyed 12 months after the completion of the recruitment exercise.