QuaSSI Research Assistantship
Each year, during the Spring semester, QuaSSI seeks applications from PhD students for two-three 20-hour per week research assistantships. Application dates will be posted when available. The assistantships are designed to facilitate multidisciplinary opportunities for additional training and experience in quantitative methods for social science graduate students. They offer a year during which students may seek additional methods training and work on methods-related research projects, while also at the same time being integrated into a diverse set of activities in QuaSSI.
Central to the graduate assistantship is that students receive advanced training in quantitative methods, through four specific avenues: (1) a methods-focused research project, (2) active participation in and development of QuaSSI seminars and workshops, (3) additional methods related research projects developed with other QuaSSI personnel, and (4) additional methods related coursework or other training.
Duties: In addition to their research projects and any coursework, graduate assistants will work with QuaSSI staff and students in promoting and participating in its initiatives and activities. Whenever possible these activities will be matched with interests and training areas of the GAs. Service activities will typically constitute less than 10 hours per week, however, regular attendance and participation in QuaSSI activities is expected.
- Pursuit of individual research project with faculty mentor, as proposed.
- Coursework and other training, as proposed.
- Working closely with the Director to select speakers, host visits and the seminar series, and to manage the website and related activities.
- Developing audience background material for the seminar series and other events.
- Designing and running a small number of workshops on topics of special interest.
- Assistance and collaboration with methodological research and grant-seeking activities of QuaSSI.
- As appropriate, participation in the activities of the Big Data Social Science program.
- Students will be provided with space and computational resources in the QuaSSI/BDSS collaboration facility in Sparks (the Databasement) and are expected to use this infrastructure regularly.
Selection Criteria: Students must demonstrate a commitment to quantitative methods (and social science) as a core part of their graduate training. (Examples include pursuing a first or second field in methodology in the political science PhD, or seeking the certificate in advanced statistical methods in the sociology PhD.)
- The primary selection criterion is the likely value-added of the QuaSSI assistantship to the candidate, and secondarily the value-added of the candidate to the QuaSSI mission.
- Candidates are encouraged to be specific about how they expect their dissertation and other research will be improved and how this might produce tangible improvement in their professional placement opportunities.
- We hope to select students from multiple disciplines (past recipients have come from Sociology, Anthropology, Psychology, Neuroscience, Political Science, Human Development, Computer Science, and Statistics).
- Students at all stages of their PhD program are eligible, but the ideal timing is post-coursework and pre-market, corresponding to 3rd or 4th year in most PhD programs.
- QuaSSI Assistantships require a 50% funding match from home departments, colleges, or faculty. The details of this need not be confirmed at time of application, but applicants are advised to discuss this requirement with advisors and/or home departments as early as possible.