Updated March 20, 2018
All Spring positions have been filled.
Research Opportunities Spring 2018
The following faculty members and PhD students are looking for research assistants this semester. All of these positions are for credit. Students registered for GU4996 will receive either 1 or 2 college credits and be charged for 1 – 2 credits (which is relevant only to students who pay by the credit). To participate in a faculty research project at no cost, GS students have the option of registering for GU4995 for 1 credit for which they will not be billed. In both cases, students will receive a letter grade on their transcript indicating that they worked as an RA. However, in the case of GU 4995, the 1 credit may not be used to fulfill the minimum credit limit of a Columbia degree. Research positions typically entail 5-7 hours of work per week. Research credit may not be used as a substitute for elective or seminar requirements in the major.
If interested in a position, please contact the faculty member directly at the email address provided. If you are selected by the faculty member then contact me at se5@columbia.edu.
When contacting faculty regarding a position you should include a copy of your Columbia transcript (unofficial is ok) and a CV/resume.
NEW (posted Feb 8)
Maggie Shi (PhD Student) is looking for assistance with data collection. She is collecting data on how counties were affected by the recent tax reform. Specifically, she is looking at counties that accepted tax prepayments in December and how much each of these counties collected. This would be a good RA-ship for students interested in political economy or public finance. Since data collection is online, this doesn’t require any specific skills. If interested contact her at .
NEW (posted Feb 4)
Homa Zarghamee (Professor, Barnard) is looking for a research assistant, who can help conduct a textual analysis of an introductory economics textbook. The work will involve coding occurrences of female and male personages and their attributes, and constructing quantitative and graphical comparisons of these occurrences. In addition, the research assistant can help with statistical analyses for other ongoing behavioral and experimental economic research projects. Applicants should have skills with Excel and STATA. If interested contact .
