
Postdoctoral Fellow, Block Center for Technology and Society
Carnegie Mellon University
The Block Center for Technology and Society at Carnegie Mellon University is accepting applications for two Postdoctoral Fellows to conduct research on the societal impact of technology. The Block Center supports research on the impact of artificial intelligence and emerging technologies, with an emphasis on work that connects academic research to real-world practice and policy.
The Postdoctoral Fellows will work with faculty affiliated with the Block Center as part of an interdisciplinary research community focused on producing business- and policy-relevant research.
A typical project may involve engaging with research and organizational partners, designing an experiment or survey, analyzing data, and writing research papers.
Candidates should have familiarity with some combination of:
• Causal inference and empirical research design, including methods such as experiments, difference-in-differences, fixed effects models, instrumental variables, regression discontinuity, or related approaches;
• Programming or scripting knowledge suitable for processing and analyzing large-scale or unstructured data;
• One or more computational environments for statistical analysis, such as Python, R, Stata, or similar tools;
• Writing papers for peer-reviewed academic journals;
• Interest in understanding the social, economic, organizational, and policy implications of emerging technologies.
In addition to research, postdoctoral fellows will engage with the policy and academic community as part of their Block Center engagements. There are no teaching requirements.
Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.

At the SEI, we research complex software engineering, cybersecurity, and AI engineering problems; create and test innovative technologies; and transition maturing solutions into practice. We have been working with the Department of Defense, government agencies, and private industry since 1984 to help meet mission goals and gain strategic advantage.