Department of Computing
Research Fellow / Project Fellow / Postdoctoral Fellow / Research Associate / Project Associate / Research Assistant / Project Assistant (Full-time/Part-time)
(Ref. 260417019)
(1) Research Fellow/Project Fellow (Full-time/Part-time)
[Appointment period: twelve months]
(2) Postdoctoral Fellow (Full-time/Part-time) (two posts)
[Appointment period: each for twelve months]
(3) Research Associate/Project Associate (Full-time/Part-time)
[Appointment period: twelve months]
(4) Research Assistant/Project Assistant (Full-time/Part-time) (six posts)
[Appointment period: each for six months]
Duties
The appointees will assist the project leader in the research project – “Collaborative Generative AI (Co-GenAI) research center”. They will be required to:
(a) provide support on foundation models and generative AI systems;
(b) explore advanced techniques in foundation large language models and multimodal large language models, with a focus on pre-training, post-training and model merging/fusion;
(c) establish secure, scalable and efficient infrastructure for data management, distributed training, model evaluation, deployment and continuous improvement of foundation models;
(d) build and maintain large-scale distributed training infrastructure for large language models, including cluster management, fault-tolerant scheduling, mixed-precision training and end-to-end pipeline optimisation to support efficient pre-training and fine-tuning at scale;
(e) explore efficient architectural designs for both dense and MoE models, including but not limited to MLA, mHC, Loop Transformer, and other parameter-efficient or compute-efficient structures, aiming to improve model capacity and training efficiency under constrained computational budgets; and
(f) perform any other duties as assigned by the project leader, the Head of Unit or their delegates.
Qualifications
Applicants for the Research Fellow/Project Fellow post should have a doctoral degree plus at least three years of postdoctoral research experience or equivalent qualifications, and demonstrate strong research expertise and publication potential in collaborative generative AI or closely related fields.
Applicants for the Postdoctoral Fellow post should have a doctoral degree or an equivalent qualification and must have no more than five years of post-qualification experience at the time of application. Preference will be given to those with relevant research experience in collaborative generative AI, foundation models, multimodal AI or interactive intelligent systems.
Applicants for the Research Associate/Project Associate post should have a master’s degree or a good honours degree with three or more years of research/relevant work experience, preferably with experience in generative AI, multimodal learning, multi-agent systems, human-AI collaboration or related areas.
Applicants for the Research Assistant/Project Assistant post should have an honours degree in Computer Science, Artificial Intelligence, Data Science, Engineering or a related discipline or an equivalent qualification.
For all posts, applicants should have:
(a) demonstrated expertise in foundation models, generative AI, multimodal learning, machine learning systems, model merging/fusion or related areas;
(b) strong self-directed learning ability; and
(c) commitment to open, reproducible and ethically responsible AI research.
Applicants are invited to contact Prof. Hongxia Yang at telephone number 2766 7247 or via email at hongxia.yang@polyu.edu.hk or Mr Jianmin Wu via email at jianmin.wu@polyu.edu.hk for further information.
Conditions of Service
For full-time appointment(s), a highly competitive remuneration package will be offered.
For part-time appointment(s), the remuneration rates for the posts of Research Fellow/Project Fellow, Postdoctoral Fellow, Research Associate/Project Associate and Research Assistant/Project Assistant are HK$394 per hour, HK$385 per hour, HK$181 per hour and HK$125 per hour respectively.
Consideration of applications will commence on 24 April 2026 until the positions are filled.
Posting date: 17 April 2026