Job Posting Details
Professor Yike GUO is leading two scientific research teams, namely HKUST Machine Creativity Lab (MACRE Lab) and Hong Kong Generative AI Center (HKGAI).
Funded by the University Grants Committee, MACRE Lab is working on a project titled “Building Platform Technologies for Symbiotic Creativity in Hong Kong”, which is one of the largest interdisciplinary projects on humanities, arts and technology in China.
HKGAI, which is supported by InnoHK under the Innovation and Technology Commission, is the largest collaborative scientific research project in local history, involving six of the top 100 QS universities in Hong Kong.
These will be an important step to develop Hong Kong into an international innovation and technology center.
We are now hiring several research-related positions to join the teams.
By joining the teams, the appointee will have the chance to work with Professor Yike GUO, Professor Song GUO, professors from overseas universities and industrial R&D professionals from DeepMind, Huawei, IBM, Ping An and JD Research Institutes.
Major research areas are listed below:
1.
Large Language Model (LLM)
2.
Visual Large Model (CV-FM)
3.
Music and General Audio Generation (Audio-FM)
Requirements for Post-doctoral Fellow:
Applicants should have a PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Electronic Engineering, Information Engineering, Mathematics or a related field.
The ideal candidate should be able to independently carry out scientific research projects and achieve outstanding achievements, such as high-star open-source projects and/or highly cited/top conference papers; strong in academics and well versed in the principles of deep learning (especially generative algorithms), and in the latest scientific research trends; strong in engineering with solid coding skills; and familiar with frameworks such as PyTorch.
Requirements for Assistant Research Engineer:
Applicants should have a master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Electronic Engineering, Information Engineering, Mathematics or a related field, with more than 3 years of experience in any one of the following four areas: (1) managing Nvidia GPU servers; (2) designing and implementing data crawlers, cleaning and preprocessing; (3) LLM training processes and system optimization; and (4) software front-end and back-end development.
Requirements for Research Assistant:
Applicants should have a master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Electronic Engineering, Information Engineering, Mathematics or a related field, with over 3 years of relevant solid experience in the R&D field.
The ideal candidate should be passionate about handling data with experience in distributed big data analysis and cleaning, and about engineering with solid coding skills.
The appointee should also be familiar with MongoDB, frameworks such as PyTorch and deep learning especially generative algorithms, as well as be fluent in English and Chinese (including Putonghua).
Candidates with less experience but with a strong R&D record may also be considered.
(Duration: 1 – 2 years)
For more information, please visit the following websites:
Starting salary will be commensurate with qualifications and experience.
Fringe benefits including annual leave, medical and dental benefits will be provided.
If a 2-year contract is offered, a gratuity will be payable upon successful completion of contract.
Application Procedure
In support of a green work environment, we accept applications submitted online only.
To apply, please send your application with a full curriculum vitae indicating the current and expected salaries to <> with the subject “Name_Bachelor/Master/PhD_Post-doctoral Fellow/Assistant Research Engineer/Research Assistant_LLM/CV-FM/Audio-FM”.
Review of applications will begin as soon as possible and continue until the position is filled.
We thank applicants for their interest, but advise that only shortlisted candidates will be notified of the result of the application.
(Information provided by applicants will be used for recruitment and other employment-related purposes.
Applicants should read the before submission of application.)
HKUST is an equal opportunities employer and is committed to our core values of
inclusiveness, diversity, and respect.