Post-doctoral Fellow (2 positions)

HK University of Science & Technology

Duties & Responsibilities

Conduct research on visual multimodal algorithms including VLMs, OCR, object detection, image/video generation, and authenticity verification for financial applications.
Stay current with state-of-the-art research in text, timeseries, image, video, and multimodal AI and design algorithmic pipelines for real-world financial scenarios.
Assist in data acquisition, preprocessing, cleaning, and quality assurance for model training and evaluation.
Develop, train, and fine-tune deep learning models using PyTorch and TensorFlow with systematic performance optimization.
Participate in technical seminars, workshops, and research discussions to share insights and introduce advanced algorithms.
Publish research outcomes in top-tier academic conferences and journals in AI, computer vision, and multimodal domains.

Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Electronic Engineering, Information Engineering, Mathematics, or closely related field with strong R&D experience.
Passion for data-intensive research with experience in distributed data analysis, data cleaning, and engineering plus strong programming skills.
Proficiency with deep learning frameworks (PyTorch, TensorFlow), familiarity with generative models, and knowledge of database systems such as MongoDB.
Strong publication record in top-tier AI conferences and journals (CVPR, ICCV, ECCV, AAAI, NeurIPS, ICML, ACL).
Fluency in English and Chinese (including Mandarin) is required.
Previous internship or industry experience at leading technology companies and experience in fintech or document understanding systems are preferred.