Term Research Assistant

National Bureau of Economic Research
  • Location
    New Haven, Connecticut
  • Sector
    Non Profit
  • Experience
    Early Career
  • Posted
    Nov 27

Position description

Professor Costas Arkolakis in Economics Department at Yale University and PhD Candidate Sun Kyoung Lee in Economics Department at Columbia University are seeking a FULL-TIME research assistant to be located in New Haven, CT for 1 year, beginning as soon as possible (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 computer science (especially Python language and the application of Machine Learning) or economics 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 working on theoretical problems. RAs 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. Someone who is diligent and responsible is a must, and they will be closely supervised by Sun Kyoung Lee. 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. 

  • Python is a must
  • Statistical programming: STATA, R, SAS or similar is required
  • The work will primarily use LINUX, so exposure of Linux is strongly recommended, but training can be provided if needed 
  • 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

(Computer Science major is strongly encouraged to apply)

  • Knowledge of basic microeconomics, macroeconomics, econometrics is a plus but is not required. 
  • Foreign language such as proficiency in German is a plus, but not required

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

Application instructions

Please be sure to indicate that you saw this position on Globaljobs.org

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