The Johns Hopkins University Data Science and AI (DSAI) Institute welcomes applications for its Postdoctoral Fellowship program, seeking disciplinarily diverse scholars to advance the foundations of data science and artificial intelligence, explore their applications across all areas, including science, health, medicine, the humanities, engineering, policy, governance, democracy, and ethics, and to evaluate the implications of the technology.
The postdoctoral fellows will join the Institute’s growing research community and collaborate with its broad array of faculty members. Fellows will form an interdisciplinary cohort of outstanding scholars who will contribute to the research, education, policy, and outreach goals of the Institute.
The fellows program supports the research programs of the Institute, which build on the University’s historic expansion in AI, including 80 new faculty members in AI, and 30 Bloomberg Distinguished Professorships developing cross-disciplinary AI. This expansion includes new buildings, 30 research engineers, and extensive computational resources to support the Institute’s programs.
Fellows will collaborate with Institute members across the university, including the Homewood campus, the East Baltimore Health and Medicine campus, the JHU Applied Physics Laboratory in Laurel, MD, and the Washington D.C. campus.
Program Information and Benefits
- Competitive salary
- Academic travel stipend
- Mentoring by DSAl faculty and collaborators
- Access to compute resources
- Participation in world-class, center-supported trainings, educational initiatives, and projects
The postdoctoral fellowship program is intended to span two years, beginning in Fall 2027. Initial appointments are for one year, with renewal for a second year contingent on satisfactory performance and continuance of funding and relevant research.
Additional Information
The referenced salary range 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 be based on factors including, but not limited to, the experience and qualifications of the selected candidate; e.g., years in rank, training, field, discipline, other work experience, and other similar factors; geographic location; internal equity; external market conditions; and other factors as reasonably determined by the University.
Contact
Please email ai@jhu.edu with any questions.
Fellows must hold a PhD in a related field.