Job Description

Post-doctoral Fellow (2 positions)

Job Title:

10970

Job ID:

Department:

Division of Emerging Interdisciplinary Areas

Job Posting Details

Key Responsibilities:

1. Conduct cutting-edge research on visual multimodal algorithms, including Visual Language Models (VLM), OCR, object detection/segmentation/recognition, image/video generation, and authenticity verification, with applications in financial and related domains.
2. Stay updated with state-of-the-art research in text, timeseries / spatialtemporal, image, video, and multimodal AI; design and implement algorithmic pipelines tailored for real-world financial scenarios.
3. Assist in data acquisition, preprocessing, cleaning, and quality assurance to ensure high-quality datasets for model training and evaluation.
4. Develop, train, and fine-tune deep learning models using frameworks such as PyTorch and TensorFlow; analyze model performance and optimize through systematic experiments.
5. Participate actively in technical seminars, workshops, and research discussions, sharing insights and introducing advanced algorithms to practical projects.
6. Publish research outcomes in top-tier academic conferences and journals in AI, computer vision, and multimodal domains.

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.