Research Assistant, National Student Support Accelerator (NSSA) Project - (Remote)

The Annenberg Institute for School Reform at Brown University is seeking a motivated undergraduate student to work on the National Student Support Accelerator Project (NSSA). NSSA, started by a diverse group of over 20 national education leaders that came together early in the pandemic addresses K-12 student learning needs caused by COVID-19.

The vision of the NSSA is that every student living in poverty will have access to a tutor who helps them learn and grow and feel seen and cared for as part of their core educational experience. The Accelerator will expand access to and improve the quality of tutoring for K-12 students through building a community of practice, providing tools and technical assistance for tutoring organizations and educational institutions, coordinating research, and highlighting success stories.

The student working on NSSA would help develop a profile of tutoring programs across the country, research and write literature reviews based on scholarly work and assist in some clerical work.

Timeline: Start date ASAP, target: November 9, 2020. The position is for 12 weeks.
Hours and Pay: $12.50/ hour for minimum of 6 hours a week, up to maximum of 10 hours per week.

The position’s major responsibilities include:

  • Conducts searches for tutoring programs across the country to determine landscape
  • Source and record data collected from tutoring program searches
  • Provide support to our project consultant weekly by reading through tutoring oriented articles the consultant has collected, and disseminate information found within articles
  • Participating in occasional working group meeting with project team members

Successful applicants will exhibit the following qualifications:

  • Currently enrolled undergraduate student in education, psychology, economics, sociology, political science, or related field
  • Excellent time management and organization skills
  • Prior experience with literature reviews and/or sourcing of data preferred

To apply, please submit:

  • A cover letter describing your interest in the position and career goals, the date you are able to start work, and your experience with literature reviews and related tasks
  • Faculty advisor’s contact info
  • CV or resume
  • Unofficial transcript(s)

Please note: Navigate to "Find Student Jobs" in Workday and search for REQ168343 to submit materials