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Postdoctoral Fellow – CausalML Lab – Faculty

  • Full Time
  • Anywhere

Johns Hopkins University

Johns Hopkins University invites applications for a Postdoctoral Fellow in the CausalML Lab, a full-time, on-site research role based in Druid, Baltimore. Join a dynamic faculty-affiliated team advancing the science of causal machine learning.

About the Role

The CausalML Lab at Johns Hopkins University, directed by Dr. Murat Kocaoglu, is recruiting driven postdoctoral scholars to begin in 2026. As a Postdoctoral Fellow, you will collaborate closely with Dr. Kocaoglu and fellow lab members on cutting-edge research that designs foundational algorithms for causal decision making, with a particular emphasis on real-world, non-IID time series data.

Key Responsibilities

  • Develop and refine core algorithms for causal inference and decision making.
  • Work with complex, real-world, non-IID time series datasets.
  • Partner directly with Dr. Kocaoglu and members of the CausalML Lab on shared research goals.
  • Contribute to scholarly outputs and disseminate findings to the broader research community.

Qualifications

  • A completed (or soon-to-be-completed) doctoral degree in a relevant field such as machine learning, computer science, statistics, or a closely related discipline.
  • Demonstrated motivation and the ability to drive independent research.
  • Background or strong interest in causal inference, machine learning, and time series analysis.
  • Willingness to work on-site in Baltimore as part of a collaborative laboratory environment.

About Johns Hopkins University

Johns Hopkins University is a globally respected research institution known for rigorous scholarship and innovation across the sciences. The CausalML Lab reflects this tradition, offering a supportive and intellectually stimulating setting in Druid, Baltimore for researchers eager to push the boundaries of causal machine learning.

How to Apply

If you are ready to advance your research career as a Postdoctoral Fellow with the CausalML Lab at Johns Hopkins University, we encourage you to apply. View the full listing and submit your application to take the next step.

To apply for this job please visit www.adzuna.com.

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