In support of the DDSS mission to facilitate innovation in quantitative social science, multidisciplinary community-building, and public good and tool creation, we recruit the technical talent of both undergraduate and graduate students at Princeton.
Graduate Fellowship of Social Data Science. Graduate student fellows will dedicate approximately 3-5 hours a week to fellowship activities, including office hours, regular meetings with DDSS staff and cohort fellows, as well as the planning of both informal and formal events to strengthen social data science networks across campus. Fellows receive a one-time award for research expenses and travel. Fellows are required to attend DDSS events.
DDSS Graduate Consultants. Graduate students who register as consultants for their technical skills will serve in a more traditional role of research assistant (RA) on specific projects, or offer services for replication or training workshops, which graduate students can recommend. Consultants are paid an hourly wage, including time spent on preparation for conducting workshops or training. Graduate consultants are encouraged to attend DDSS events.
Undergraduate Fellowship in Social Data Science. Undergraduates with strong technical skills will be directly supervised by the DDSS senior research software engineer in an enriched application to a social science research project. Undergraduates will be recruited through advertised postings and will be matched to appropriate projects based on skill level. Undergraduates who are especially interested in particular projects can directly email [email protected] with "Undergraduate Fellowship" in the subject line.
Please see our Frequently Asked Questions page for further details on our opportunities.