Predoctoral Research Fellow, Economics

Location
Massachusetts, United States
Posted
27 Nov 2018
End of advertisement period
27 Jan 2019
Ref
16793
Contract Type
Permanent
Hours
Full Time

Working at MIT offers opportunities, an environment, a culture – and benefits – that just aren’t found together anywhere else. If you’re curious, motivated, want to be part of a unique community, and help shape the future – then take a look at this opportunity.

PREDOCTORAL RESEARCH FELLOWEconomics-School Effectiveness and Inequality Initiative (SEII), to support the evaluation and improvement education programs and policies in the U.S.  Fellows receive a two-year full-time appointment with SEII, a research lab based at the MIT Department of Economics and the National Bureau of Economic Research. Fellows will work closely with SEII directors Joshua Angrist, David Autor, and Parag Pathak as well as with collaborators at universities across the country.  Specific responsibilities include cleaning and organizing data, analyzing data using statistical software, presenting results, and editing papers for publication. 

Job Requirements

REQUIRED a minimum of a bachelor’s degree in economics, computer science, mathematics, statistics, or a related field; strong quantitative and programming skills; at least two years (which may include work experience gained as an undergraduate) of specialized experience with qualitative data analysis, research methods, and social sciences. Research experience and knowledge of Stata, MATLAB, and/or R strongly preferred. Job #16793

The start date is flexible, with a strong preference for candidates who can begin on or before June 1, 2019. 

Please note that research fellows are not eligible for visa sponsorship.   

In addition to applying via the MIT website, please also complete an SEII application at https://goo.gl/forms/NjsbC98VczdtjP2I3. 

11/16/18

MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.

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