Research Fellow

The Center for Academic Innovation (CAI) is seeking to hire an independent, creative, detail-oriented, and reliable graduate student as a Student Fellow to support a research study on Tandem, a software tool for supporting equitable student teamwork in courses. With appropriate support, the Fellow will be responsible for conducting a quantitative study comparing results from existing sets of survey data with appropriate methods for data organization and analysis. The Fellow should have expertise in some combination of education research, learning analytics, statistical analysis, and data management.


The Fellow will complement our research capabilities and ultimately improve the learning experiences we support as Tandem is one of several educational software tools supported by CAI, which aims to shape the future of learning and redefine public education at a 21st-century research university by unlocking new opportunities and enabling personalized, engaged, and lifelong learning for the U-M community and learners around the world. (Read more about CAI here.) 


  • Organize, clean, manipulate, analyze, and interpret findings from survey data
  • Produce associated visualizations
  • Prepare and present reports and findings to collaborators and coworkers

Required Qualifications

  • Currently pursuing a master’s degree or PhD in education, information, survey research, data science, or a related field.
  • Knowledge of, and experience with, quantitative inquiry and various statistical analysis techniques such as logistic regression, analyses of variance, factor analyses, linear and hierarchical modeling, etc. 
  • Demonstrated ability to be self-directed and work independently or as part of a rapidly changing, multidisciplinary, multicultural, and collaborative environment.

Desired Qualifications

  • Experience with survey research and handling missing data
  • Expertise in modern computational methods for analysis (e.g., Python, R)
  • Experience creating clear and accessible data visualizations (e.g., with Tableau)


5 to 15 hours per week (negotiable) with a total of approximately 120 hours. The end date for this position is December 30, 2022, however it is possible for the position to be extended.


Send a cover letter and resume or CV to with “Research Fellow Application” and your name in the subject line. Submissions will be initially reviewed on September 12, 2022 but will continue to be accepted until the position is filled. Ideal candidates will be able to start by September 19, 2022.

screencap of Sean Swider using ViewPoint tool