Open Position: Research Scientist – AI for Healthcare and Trustworthy AI:

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.

Job Description:

  • Build world-class capabilities and excellence in AI in Healthcare and Trustworthy AI to be recognized by international research communities.
  • Work with scientists in IHPC and clinical/industrial collaborators to advance research and digital transformation.
  • 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.
  • Requirement:

  • Hold a Ph.D. degree in computer science, applied mathematics, data science or other related disciplines.
  • Proven experience in computer vision, deep learning, medical image analysis, federated learning or related fields.
  • First-author publications at peer-reviewed AI conferences (e.g., CVPR, ICCV, NeurIPS, ICLR) and journals (e.g., TPAMI, IJCV, TMI, TIP, TNNLS).
  • Familiarity with one or more of the following will be viewed favorable: multi-modality learning, efficient learning, federated learning, and trustworthy AI.
  • Excellent oral and written communication skills.
  • To apply:

    If you are interested in working with us, please send your CV to Dr. Huazhu Fu at fu_huazhu(AT)