Position type: paid
Open to: Graduate students (iSchool doctoral student preferred.)
Review of applicants will begin immediately. Please apply by June 1 for strongest consideration.
Start Date: Thursday, June 16, 2022
In this project, we are exploring how the breadth-and-depth model of “Big Qual” Analysis (http://bigqlr.ncrm.ac.uk/about-the-project/breadth-and-depth/) 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.
Students will be paid according to current iSchool assistantship rates. Contact hiring faculty member for specifics.
To apply for this position, please email a resume and cover letter to Dr. Emily Maemura (emaemura@illinois.edu).