Important Info
To apply, please submit the required materials to Dr. Preeti Panda at preetipanda@stanford.edu, with the subject “Postdoctoral Fellow Application, [name].”
The Resilient Futures Research Lab is seeking a Postdoctoral Research Fellow with strong quantitative data analysis skills to join our interdisciplinary team of investigators. The fellowship goals include advancing our research program on youth violence and injury prevention, and to develop the career and scholarly interests of the Fellow. Developing the research program will include supporting the team with quantitative, inferential and spatial analysis, as well as integrating machine learning techniques, and leading and drafting manuscripts. We will support and encourage the candidate’s independent research interests that align with our mission, and will encourage grant applications and facilitate opportunities for building skills in grant writing and other relevant professional development opportunities. The fellow will have opportunities to partner and collaborate with faculty and programs across the University.
- The Postdoctoral Research Fellow will have completed a Ph.D. with substantial emphasis on quantitative research methods relevant to population health, epidemiology, biostatistics, computer science/data science, or a related field.
- We welcome applicants from epidemiology, biostatistics, data science, public health, health services research, geography or spatial science, computer science, economics, or related disciplines.
- Applicants should have a range of quantitative skills including graduate-level knowledge of spatial analysis, machine learning, large dataset management, and statistics or econometrics.
- Applicants must be proficient in R and/or Python. Advanced knowledge of R's and/or Python's data science and geospatial capabilities will be assessed favorably.
- Applicants should have a strong record of scholarly achievement, including peer-reviewed publications, and the demonstrated ability to work both independently and as part of an interdisciplinary, community-engaged research team.
- Curriculum vitae
- Cover letter describing research background, skills, professional interests, career goals, and fit with the lab's mission
- Contact information for three professional references
We will request a sample publication or first-author manuscript, along with related analysis code, during the recruitment process.