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Research Assistant: School of Information Sciences


School of Information Sciences


Research Assistantship


25%, for two months

Description, Responsibilities, and Qualifications

Scoping review of Sampling Techniques for Big Qual Research

In this project, we are exploring how the breadth-and-depth model of “Big Qual” Analysis ( can be applied to web archives datasets. The research assistant will help conduct a scoping review of sampling techniques and assist in developing a proposal for which techniques to apply for analysis of a large-scale web archives collection.

This is a 25% appointment for two summer months (June & July). 

Tasks of the research assistant include:

  • Conducting literature searches and reviews on sampling techniques for textual analysis and image classification.
  • Read and discuss relevant research literature.
  • Other research duties as assigned, including proofreading, bibliographic management.

Approx. 80% of the time will be working independently, and 20% of the time in meetings with Professor Maemura.


This is a 25% appointment for two summer months (June & July). 

Students will be paid in accordance with current iSchool assistantship rates. Applicants can contact the hiring faculty member for specifics. 

Application Procedure

Interested students should submit a resume and cover letter to Dr. Emily Maemura ( 

Applicants from the School of Information Science or Informatics are preferred. 

Review of application materials will begin immediately. Apply by June 1 for strongest consideration. 

Contact Info

Contact Name

Emily Maemura

Start Date

Thursday, June 16, 2022