Postdoctoral Position in Bayesian Modeling for COPD Research

Opportunity
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Lab: Applied Chest Imaging Lab (ACIL), Brigham and Women’s Hospital (BWH), a Harvard Medical School affiliate.

Supervisor: Dr. James Ross, Asst. Professor of Radiology.

:mag: Research Focus:

  • Project: Bayesian trajectory algorithms & their deployment on CT-based measures to enhance COPD exacerbation risk stratification. Supported by NIH award 1R01HL164380-01A1.
  • Objectives: Develop/implement cutting-edge Bayesian models (in Python) to better identify subpopulations with varying susceptibilities to COPD exacerbations.

:woman_scientist: Role:

  • Explore & implement Bayesian models.
  • Engage in experimental design, collaboration, and publication.
  • Present findings at conferences and interact with clinical collaborators.

:mortar_board: Qualifications:

  • PhD (Computer Science/Machine Learning/related).
  • Proficiency in Bayesian modeling & Python.
  • Experience with Pyro desirable.
  • Interest in applying modeling techniques to medical domains.

:rocket: Opportunities:

  • Work with leading scientists & clinicians.
  • Engage in a dynamic, multidisciplinary research environment.
  • Receive an academic appointment at Harvard Medical School.

Apply: Email CV, research interests, and references to jross@bwh.harvard.edu.

BWH values diversity and is an Equal Opportunity Employer.

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