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Department Student Jobs

Economics Teaching Assistants (TAs)

  • Students who wish to be Economics TAs must have completed Econ 110, 380, and also the class they're applying to TA for prior to the start of the semester/term the job will begin. (Completion of 381 is also preferred. )
  • TAs are expected to maintain a 3.0 GPA or above​.
  • The starting wage is $12.00/hour for 110 TAs and $11.25/hour for non-110 TAs, with a $0.50 raise every semester. ​
  • Handwritten applications are not accepted.
  • A current Academic Summary must be attached to your application.

Shortly after TA applications are due, the professors meet to review each candidate and make their selections. Typically, candidates are notified whether they've been selected or not via email, within three weeks from the application due date.

The Economics Department is currently accepting applications for Winter Semester 2023 TAs.
*Winter 2023 Application Due by Friday, November 11th at noon to

Economics Research Assistants​ (RAs)

At this time, there is no formal process for students to apply to be research assistants. However, most professors do require their RAs to have taken Econ 388. Since every professor hires and works with RAs differently, we suggest you speak with your professors and ask if they are hiring.
If any professors are actively looking for research assistants, those positions will be announced in the department's weekly emails and posted here.

Current RA Openings

Research Assistant with Dr. Leslie

Dr. Emily Leslie is looking to hire a research assistant. Estimated start date is January 2023. Will primarily be supporting projects related to the criminal justice system and public policy. Pay will be based on department wage scale for research assistants. The role requires writing Python code to scrape data, so experience with Python is strongly preferred. Please complete the application and email it to, along with the documentation specified in the application.

Record Linking Lab Research Assistants

The Record Linking Lab (RLL) is a research lab run by Dr. Joseph Price that combines family history, machine learning, and economic research. Please visit for more general information about the lab or visit the Facebook page at Application instructions for students interested in becoming RLL RAs are found at: ​