iMED 是智能医疗影像处理Intelligent Medical Imaging的简称,iMED团队是由刘江教授2007年1月创建于新加坡,是一个以专注眼科人工智能的国际化知名团队。在创立后10年内的时间之中,iMED新加坡团队到2016年发展到25余位科学家组成的世界上最大之一的眼科人工智能团队,包括现在活跃于眼科人工智能领域的DAMON WONG,程骏,许言午,付华柱,段立新,徐梦迪,李安南,刘慧颖,JIMMY LEE等。
imed 新加坡合照


Research Scientist – AI for Healthcare

The Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR) in Singapore was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

We are looking for highly motivated individuals who can work independently and yet are good team players, possess excellent analytical, technical, and problem-solving skills, good technical writing, and presentation skills. If you share our interests in solving challenging scientific problems, we welcome you to apply for the following position.

Research Scientist (AI for Healthcare)

·Build world-class capabilities and excellence in AI in Healthcare to be recognized by international research communities. 

·Work with scientists in IHPC and clinical collaborators to advance research and digital transformation in healthcare. 

·Publish high-impact papers to advance science (We have published several works in New England Journal of Medicine, The Lancet Digital Health, Nature Medicine, IEEE TPAMI, etc.).

·Execute programmes to ensure timely delivery of project milestones with high-quality outcomes.


·Hold a Ph.D. degree in computer science, applied mathematics, data science or other related disciplines.

·Proven experience in Computer Vision, Machine Learning, Deep Learning, Medical Image Analysis, or related fields.

·First-author publications at peer-reviewed AI conferences (e.g., CVPR, ICCV, ICML, NeurIPS, ICLR) and journals (e.g., TPAMI, IJCV, TIP, TMI).

·Knowledge in one of the AI programming frameworks, e.g., PyTorch, TensorFlow.

If you are interested in working with us, please send your CV to: 

Huazhu Fu (