Full Time Research Assistant



Posted on

Application Deadline


Research assistant / technician

Reference Number


Professor Costas Arkolakis in Economics Department and Doctor Sun Kyoung Lee in Economics Department at Yale University are seeking a FULL-TIME research assistant to be located in New Haven, CT for 1 year, beginning July 15, 2021 (start date and duration of work periods are both negotiable). We work on a number of projects related to spatial economics, economic history, using a big data approach. We are looking for post-undergraduate candidates who intend to pursue a PhD in economics or a related field.  A Bachelor’s degree is required.

Candidates with strong backgrounds in economics or computer science (especially Python language and the application of Machine Learning) or statistics or applied mathematics with a focus of empirical work will find this project engaging. Daily tasks may include data analysis, writing programs and reviewing, designing and revising the programs. In addition, the RA will employ and structurally estimate theoretical spatial models designed by the PIs. The project involves the use of historical micro data and cross-country observation to measure the impact of immigration on American growth and aspects that affected historical intergenerational mobility. RAs will further support the project with quantitative analysis, documentation and data descriptions, and programming. The RA will get office space in or near the economics department at Yale.

All candidates should exhibit an interest in our research and must be able to contribute one or more of the skills listed below. Newly-hired RAs must commit 35-40 hours per week during the summer and regular semester throughout the year. We are looking for post-undergraduate candidates who intend to pursue a PhD in Economics or related field. A Bachelor’s degree in economics or relevant major(s) is required. Salary is competitive and comes with full health benefits. 

Skill Sets

We are looking for people who can help us in the areas listed below. The strongest applications include samples of prior work or other documentation demonstrating experience or aptitude in these areas. In particular, applicants should demonstrate strong aptitude through transcripts, prior work experience and description of the work that she/he has done. 

  • Statistical programming: STATA, R, SAS, Python or similar is required
  • Exposure/knowledge of Machine Learning is a plus, but not required
  • Geographic Information System (GIS) software proficiency is a plus, but not required
  • General proficiency in Computer Science such as C, Java

(Candidates with extensive experience with coding are strongly encouraged to apply)

  • Knowledge of basic microeconomics, macroeconomics, econometrics is a plus but is not required. 

          Please highlight relevant skills and courses taken and your degree of proficiency in your resume.

To Apply

Interested candidates should combine the required documents into one pdf document and upload it into the application below: 

Also, please attach the same pdf document and email to both costas.arkolakis@yale.edu and sunkyoung.lee@yale.edu with the subject line “A Big Data Approach to Understanding American Growth RA Application. 


Rolling basis. Interested candidates are strongly encouraged to apply at the earliest convenience

Application Packets must include the following: 

  • Please attach everything as a single pdf document (in the listed order)
  • For 4, if you do NOT have any, please indicate “n/a” for 4. However, 1-3 are required for a full consideration for the position. 

1.       A current CV (up to 3-page)

2.       Brief self-introduction showing 

  • the relevance of your interests to this project
  • when you will be available
  • Major(s)
  • What year of the program you are in based on the time of application (or any latest relevant period)
  • Your previous work or research experience with description of work and your role
  • Whether this require VISA sponsorship, and country of the applicant’s citizenship
  • Name and email address of References (letters are not required, but please list the contacts of references)

Please also indicate in your application 1. the period you are available to start working (periods you can work as full time and part time (if you can), respectively), and 2. major, and 3. what year of the program you are in at the time of application (e.g. senior double-majoring in Computer Science and Economics)

  • If you have relevant work/research experience, please describe the project(s) and your role and technical skills required to accomplish the project (up to 1 page)

3.       Transcripts with highlights of relevant courses (unofficial copies are accepted)

4.       Portfolio of relevant experience (e.g. programming) or academic paper(s) along with work description

Further information for the relevant research, please refer to the following webpages:

For more information on the NBER, please visit the following website at www.nber.org.

The NBER will make reasonable accommodation for any disabled applicant, and will provide assistance to disabled applicants as needed during the application process. 

More Information

Posted on

Application Deadline


Research assistant / technician

Reference Number



1050 Massachusetts Avenue

MA 02138 Cambridge , United States