Prof. Nathan Wilmers is seeking a full-time Predoctoral Technical Associate to coordinate
and conduct sociological research on rising wage inequality. This position will be housed in the
MIT Sloan School of Management’s Work and Organizations group. The research associate will
support a research agenda investigating the effects of organizational change, work restructuring,
and market power on economic inequality. The position is for one year, beginning July 15, 2018,
with the possibility of a second year extension.This is an excellent opportunity for someone seeking academic research experience prior to
entering a PhD program in sociology, organizational behavior, political science or economics. The
position will be focused on building research skills and conducting research.
The research associate will participate in every stage of the research process. However, the bulk of
the work will be building, analyzing and cleaning large datasets on wages and organizational characteristics.
These data range from historical wage microdata to restricted-use administrative data
at the Bureau of Labor Statistics. In addition to data analysis work, the research associate will have
the opportunity to review relevant research, think through research design questions and contribute
writing and design to final products like presentation slides and academic articles. Throughout,
the research associate will work closely with Prof. Wilmers. The research associate will also be
encouraged to attend regular MIT Sloan seminars on employment relations, organization studies
and economic sociology.
- 1-2 years of research assistant or coursework experience in statistical analysis using Stata.
- Ability to work independently and manage several research projects at once.
- Attention to detail and high standards for work quality.
- A Bachelor’s degree in sociology, political science, economics or a related social science field with
- strong quantitative coursework.
- Willingness to travel to Washington, DC and (possibly) Stockholm, Sweden.
- Prior experience with data management and analysis in an academic context strongly preferred.
- Experience with Python preferred.
- Interest in inequality, labor markets, employment relations, labor unions or organizations.
How to Apply
Please go to careers.mit.edu and search for job ID 16008.
Applicants should submit (1) a resume/CV; (2) a cover letter describing qualifications, relevant
experience, and why they are interested in the position. The cover letter should also briefly describe
some programming code the applicant has written (such as statistical analysis for a college course
or from a past RA position).
Review of applications will begin immediately and continue until the position is filled. MIT
is an Equal Opportunity/Affirmative Action Employer. Members of underrepresented groups are
strongly encouraged to apply. Please note: The Institute does not provide employment-based visa
sponsorship for the following categories of appointment: administrators, managers, technical staff,
library staff or support staff.