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Biomedical Image Processing ML/AI

National Library of Medicine, Bethesda, MD and surrounding area

Position Description:

Are you a talented and ambitious researcher with a passion for advancing machine learning (ML) and artificial intelligence (AI) in the field of biomedical imaging? Look no further! The Lister Hill National Center for Biomedical Communications (LHNCBC)’s Computational Health Research Branch (CHRB), which is a part of the Intramural Research Program (IRP) at the National Library of Medicine (NLM), is currently seeking exceptional candidates for Postdoctoral Training positions in Biomedical Image Processing ML/AI.

Join the research group of Dr. Sameer Antani (, an expert in the field, and contribute to cutting-edge research that aims to advance machine learning and AI prediction performance and reliability for significant and challenging clinical research problems.

What You'll Do:

  • Characterize the impact of data on ML/AI predictions and interpretability.
  • Collaborate with investigators studying the natural history of disease to develop new reliable and robust ML/AI methods for disease detection, segmentation, classification, and progression.
  • Contribute to image-based diagnostics and visual information analytics.
  • Explore diverse research topics in these fields that are aligned with NLM's Strategic Plan and the NIH Intramural Research Program's focus on ML/AI in biomedical research.

Why Join Us:

  • Access to NLM's state-of-the-art high-performance computing infrastructure
  • Utilize the cutting-edge resources provided by NIH's Center for Information Technology (CIT)
  • Enjoy a stimulating and collaborative research environment within the NIH Intramural Research Program, offering abundant training opportunities for early-career scientists.
  • Two-year appointment with possibility for extension, subject to performance and funding availability.

The research will be conducted at the NLM on the National Institutes of Health’s (NIH’s) main campus in Bethesda, Maryland. Telework options may be available; however, remote work is not permitted.


  • Ph.D. or equivalent degree in computer science, computer or electrical engineering, biomedical engineering, or related fields.
  • Strong background in computer vision is required, experience with medical image processing is a plus.
  • Demonstrated proficiency in conventional machine learning and deep learning.
  • Excellent programming skills in Python and experience with deep learning frameworks like PyTorch (preferred) or Tensorflow.
  • Experience in statistical data analysis techniques is required.
  • Exposure to natural language processing (NLP) is desirable, but not necessary.
  • Strong communication skills spoken and written English.

Background should be evidenced through authored publications in high-impact journals and conferences and source code repositories.

To Apply:

  • Submit a CV with a complete list of publications.
  • Attach up to three of your most relevant publications.
  • Include a detailed letter of research interest (maximum three pages).
  • Provide names and contact information of three references.

Send the above to Dr. Antani at by July 15, 2023; however, applications will be reviewed as they are submitted and until the position is filled. Only shortlisted candidates will be contacted.

The NIH is dedicated to building a community in its training and employment programs and encourages the application and nomination of qualified women, minorities, and individuals with disabilities.