Postdoctoral Researcher in Machine Learning

Johns Hopkins University•Baltimore, MD

About The Position

The Sulam Lab, led by Prof. Jeremias Sulam in the Department of Biomedical Engineering at Johns Hopkins University, invites applications for a postdoctoral researcher in machine learning. The lab bridges computer science, applied mathematics, and biomedical sciences, developing mathematically grounded machine learning methods and studying their interpretability, reliability, and generalization, with applications in imaging, biology, and medicine. The researcher will work with Prof. Sulam on an original research program that combines defined research expectations with flexibility to build on the researcher’s expertise and interests. Potential directions include machine learning foundations; interpretable and trustworthy AI; generative modeling and inverse problems; and machine learning for biomedical and scientific discovery. Projects may focus on one area, connect several, or pursue new directions complementary to the lab’s work. The researcher will develop and carry out original research, communicate findings through publications and presentations, and contribute to the lab’s collaborative research environment.

Requirements

  • Hold a Ph.D. or equivalent doctoral degree by the start date in computer science, applied mathematics, statistics, electrical or biomedical engineering, physics, or a related field.
  • Demonstrate research independence.
  • Have strong analytical and/or computational skills appropriate to the proposed work.
  • Communicate and collaborate effectively.

Nice To Haves

  • Expertise in one or more relevant areas, such as machine learning foundations, interpretable and trustworthy AI, generative modeling and inverse problems, or machine learning for biomedical and scientific discovery.
  • Prior biomedical research experience is not required.

Responsibilities

  • Develop and carry out original research.
  • Communicate research findings through publications and presentations.
  • Contribute to the lab’s collaborative research environment.
  • Shape a research program with Prof. Sulam, building on the researcher’s expertise and interests.
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