Postdoctoral Fellowship: Health Impacts of Natural Disasters

Fellowship Description

Stanford University and the RAND Corporation are seeking to appoint a Postdoctoral Fellow to join a project on the health impacts of natural disasters in low- and middle-income countries. The postdoctoral fellow will join an interdisciplinary team of physician researchers, epidemiologists, environmental scientists, and economists focused on drivers of population health in low- and middle-income countries. Our group studies and measures major challenges to development (especially health improvements) among vulnerable populations using novel data collection, empirical observations, geospatial analyses, and causal inference approaches. The position is geared for a recent PhD graduate with extensive data and geospatial skills and an interest in health research. 

The position will be based at Stanford University. The fellowship has two primary goals: to advance an important research program, and to develop the career and interests of the fellow. The fellow will work alongside the faculty and other research staff, at Stanford (School of Medicine and Stanford Earth) and at RAND. Developing the research program will entail compiling geospatial datasets, designing and implementing spatial and causal inference analyses, and drafting manuscripts. In addition, the fellow will have opportunities to partner and collaborate with faculty and programs across the university.

Appointment Details

The fellowship is a one-year appointment, with the option to extend. Start date is flexible, but no later than December, 2022. Funding includes a living stipend plus certain medical, dental, vision, and life insurance coverage through Stanford's Postdoctoral Scholars program. Postdoctoral researchers receive stipends per Stanford funding rates guidelines, based on research experience. The balance of in-person and remote work can be negotiated with the faculty mentors up front.


The Postdoctoral Research Fellow will have completed a Ph.D., with an interest in environment and health. We will welcome applicants from fields such as economics, statistics, computer science, environmental science, or epidemiology. Applicants should have a range of statistical and data skills including graduate-level knowledge of causal inference methods, geospatial techniques, data management, and data analysis. Advanced knowledge of R’s geospatial capabilities will be assessed favorably.

Application Process

Interested applicants should submit the following materials:  

  1. Curriculum vitae;
  2. Cover letter describing research interests to be pursued during training. 

We will request a sample publication/first-author manuscript with related analysis code and references later during the recruitment process.

Additional Information

Faculty Sponsor: Eran Bendavid, Associate Professor of Medicine (Primary Care and Population Health), and Senior Fellow at the Woods Institute for the Environment

Postdoc Appointment Term:  One year, with option to extend by mutual arrangement

Appointment Start Date:  Remote-work options and start date are negotiable