Key Responsibilities:

• Conduct research and development on visual multimodal algorithms, including VLM, OCR, detection, segmentation, recognition, generation, and authenticity verification, with a focus on financial and real-world applications.
• Track and evaluate state-of-the-art algorithms in image, video, and multimodal domains; design, implement, and optimize algorithm pipelines for practical scenarios.
• Assist in data collection, preprocessing, cleaning, and quality assurance to support model training, evaluation, and deployment.
• Implement model training, fine-tuning, and performance optimization using deep learning frameworks such as PyTorch and TensorFlow; conduct experiments to validate and improve model effectiveness.
• Participate in technical seminars, workshops, and project discussions; apply advanced algorithms and research insights to practical engineering tasks.
• Document and publish research findings in top-tier conferences, journals, or technical reports.

Requirements:

• Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Electronic Engineering, Information Engineering, Mathematics, or a related field. Proven experience in research and development is essential.
• Strong interest and hands-on experience in data processing, distributed big data analysis, and data engineering; proficient programming skills are required.
• Familiarity with databases such as MongoDB, deep learning frameworks (e.g., PyTorch, TensorFlow), and especially generative algorithms; fluent in English and Chinese (including Mandarin).
• Publications in top-tier AI conferences or journals (CVPR, AAAI, ICML, ICCV, ECCV, NeurIPS, ACL, etc.) are preferred.
• Industry internship or work experience at leading technology companies is a plus.
• Experience with financial technology applications, document understanding systems, or real-world deployment of AI solutions is desirable.
• Demonstrated ability to work on interdisciplinary projects and collaborate effectively with engineering and research teams.

(Duration: 2 years, renewable)

Starting salary will be commensurate with qualifications and experience. Fringe benefits including annual leave, medical and dental benefits will be provided. A gratuity will be payable upon successful completion of contract.

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.