Requirements:

1. Applicants must hold a doctorate (Ph.D.) in Computer Science, Artificial Intelligence, 2.Machine Learning, Electronic Engineering, Information Engineering, Mathematics, or a closely related field, with strong R&D experience.
2. Passion for data-intensive research with experience in distributed data analysis, data cleaning, and engineering; strong programming skills are essential.
3. Proficiency with deep learning frameworks (PyTorch, TensorFlow), familiarity with generative models, and knowledge of database systems such as MongoDB.
4. Strong publication record in top-tier AI conferences/journals (CVPR, ICCV, ECCV, AAAI, NeurIPS, ICML, ACL, etc.).
5. Previous internship or industry experience at leading technology companies is preferred.
6. Experience in financial technology applications, document understanding systems, or related domains is a plus.
7. Demonstrated ability to collaborate on interdisciplinary research projects.
8. Fluency in English and Chinese (including Mandarin) is required.

(Duration: 1 year, renewable)

Starting salary will be commensurate with qualifications and experience.  Fringe benefits including annual leave, medical and dental benefits will be provided.

Application Procedure

Please send your application with full CV, research statement, and publication list to: <siruihan@ust.hk>. Review of applications will begin immediately and continue until positions are filled. Only shortlisted candidates will be notified.

(Information provided by applicants will be used for recruitment and other employment-related purposes.  Applicants should read the Personal Information Collection Statement before submission of application.)

HKUST is an equal opportunities employer and is committed to our core values of 

inclusiveness, diversity, and respect.

Requirements:

1. Applicants must hold a doctorate (Ph.D.) in Computer Science, Artificial Intelligence, 2.Machine Learning, Electronic Engineering, Information Engineering, Mathematics, or a closely related field, with strong R&D experience.
2. Passion for data-intensive research with experience in distributed data analysis, data cleaning, and engineering; strong programming skills are essential.
3. Proficiency with deep learning frameworks (PyTorch, TensorFlow), familiarity with generative models, and knowledge of database systems such as MongoDB.
4. Strong publication record in top-tier AI conferences/journals (CVPR, ICCV, ECCV, AAAI, NeurIPS, ICML, ACL, etc.).
5. Previous internship or industry experience at leading technology companies is preferred.
6. Experience in financial technology applications, document understanding systems, or related domains is a plus.
7. Demonstrated ability to collaborate on interdisciplinary research projects.
8. Fluency in English and Chinese (including Mandarin) is required.

(Duration: 1 year, renewable)

Starting salary will be commensurate with qualifications and experience.  Fringe benefits including annual leave, medical and dental benefits will be provided.

Application Procedure

Please send your application with full CV, research statement, and publication list to: <siruihan@ust.hk>. Review of applications will begin immediately and continue until positions are filled. Only shortlisted candidates will be notified.

(Information provided by applicants will be used for recruitment and other employment-related purposes.  Applicants should read the Personal Information Collection Statement before submission of application.)

HKUST is an equal opportunities employer and is committed to our core values of 

inclusiveness, diversity, and respect.