DSI postdoctoral researchers are the next generation of leaders in data science.

Postdocs carry out independent and novel research in an environment that fosters multidisciplinary, collaborative work.

  • We are actively seeking candidates who are recent Ph.D. graduates and have explicit interests in advancing and/or applying data science to other domains.

Prior experience in data science is not required. We look for candidates with the courage and interest to learn a new field, to be part of a select like-minded cohort of fellows, and to help define the field of data science for the long-term future.

We encourage applications from candidates with diverse backgrounds, experiences, and identities.

Click here to apply for DSI’s digital identity postdoctoral research scientist role.

Click here to apply for DSI’s data and cancer postdoctoral research scientist role.

Click here to apply for DSI’s postdoctoral fellowship program.

In collaboration with other schools, centers, and institutes at Columbia, the Data Science Institute also encourages candidates with specific interests in the following areas. Please indicate the area(s) within your cover letter.

  • The Herbert and Florence Irving Institute for Cancer Dynamics seeks fellows who will support our shared mission of improving the understanding of cancer biology, origins, treatment, and prevention through data-driven approaches. We are particularly interested in candidates who will further advance core research in statistics, machine learning, AI and probabilistic modeling.
     
  • The Zuckerman Mind Brain Behavior Institute seeks fellows who are interested in using advanced data science and computational methods to understand how the brain works, from the neuron level to the cognitive level.

  • The Columbia Climate School seeks fellows who are interested in the interdisciplinary study of the science, consequences, and human dimensions of climate change. We are particularly interested in the urgent problems of Coastal Resilience, Global Decarbonization, Disaster Resilience, and Food for Humanity. We invite postdoctoral contributions in the basic and translational sciences, as well as in applied policy and direct societal interventions.

  • The Neuro Technology Center seeks fellows who will assist in our shared mission to support the development of advanced optical, electrical, and computational technologies for the study of complex neurobiological systems using data-driven methods. We are particularly interested in candidates who will further advance core research in computational neuroscience and its links with machine learning and artificial intelligence.

  • The Mailman School of Public Health seeks fellows who will assist in our shared mission to support and amplify health analytics. We are particularly interested in candidates who will further advance core research in the use of advanced data analytics to solve issues pertaining to population-scale health issues and preventive strategies, e.g., modeling climate effects on health, integrative-omics in large populations, impact of social networks on health, and data-streaming from personal monitoring devices.

  • The Center on Poverty and Social Policy seeks fellows who will support our shared mission to address the role of social policy in reducing poverty. We are particularly interested in candidates who will further advance core research in understanding trends in historical poverty, economic insecurity, immobility, and inequality, using novel data sources, and data-driven methods. Specifically we will further advance the usage of data that utilizes scanned receipts and optical recognition software to try to assess the impacts of the recently-enacted expansion of the Child Tax Credit on spending behavior.

  • The Department of Psychiatry seeks fellows interested in applying data science and cognitive systems to research on mental health, substance use disorders, and neuroscience. Opportunities for scalable data-driven science in psychiatry and clinical neuroscience are growing rapidly, and fellows would help advance the state-of-art in these areas. We are particularly interested in areas such as utilizing large and real-time medical record systems for addressing optimal patient-clinician feedback and treatment decisions; and utilizing multimodal neuroimaging data (including large consortia like the adolescent brain cognitive development [ABCD] study) for discovering underlying brain mechanism and development of psychiatric disorders.
  • The Department of Statistics seeks fellows who will work on the statistical frontiers of data science, including but not limited to statistical foundations of machine learning, causal inference, differential privacy, fairness of machine learning, etc. We are particularly interested in candidates who will expand core statistical methods and theory, driven by cutting-edge data science applications with broader societal impacts.