Bloomberg Distinguished Professor, Computational Social Sciences

Position Summary

The appointment will be in a social science department in the Krieger School of Arts and Sciences and in one or more additional units to be determined based on the candidate’s expertise. The Bloomberg Distinguished Professorships (BDP) Program, made possible through a gift from Johns Hopkins University alumnus Michael R. Bloomberg, was established in 2013 as an ambitious investment in interdisciplinary research to bridge academic disciplines and open novel fields of inquiry to address issues of critical global importance.

Starting from an initial cohort of 50 individual BDP positions, the program has more than doubled in size through a faculty‑led process for identifying areas of inquiry that are best pursued through new research clusters. In 2023, Johns Hopkins announced an expansion of this successful program as a signature element of the Johns Hopkins Data Science and Artificial Intelligence (DSAI) Institute, an interdisciplinary institute dedicated to advancing education, research, and the real‑world translation of trustworthy AI and data‑driven discovery.

A thematic cluster focused on the computational social sciences was selected as a recruitment area to be affiliated with the DSAI Institute. The Departments of Political Science, Sociology and the SNF Agora Institute in collaboration with the BDP program seek established faculty candidates in computational social science. The appointment will be in a social science department in the Krieger School of Arts and Sciences and in one or more additional units to be determined based on the candidate’s expertise.

The search committee includes representatives from Political Science, Sociology, and the SNF Agora Institute.

• Have achieved substantial impact in computational social science through the development and/or use of innovative methods to address major questions in social science.
• Be eligible to be appointed as a Bloomberg Distinguished Professor and have access to significant computing and software engineering resources through Johns Hopkins’ new DSAI Institute.
• Be prepared to contribute to a cluster in computational social science that will include at least three appointments.

The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University’s good faith belief at the time of posting. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate’s geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.

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