Post-Doctoral Fellowship

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Details

Title Post-Doctoral Fellowship
School Faculty of Arts and Sciences
Department/Area Economics
Position Description We are seeking a Post-Doctoral Fellow who will work in the fields of economic history and labor economics under the direction of one or more professors in the Department of Economics. The position is focused on the challenge of accurate measurement with imperfect historical data. As a member of the department, the Post-Doctoral Fellow will:
  • Develop novel quantitative methods to answer central questions in economic history and labor economics.
  • Develop and publish software for analysis with imperfect historical data.
  • Implement large scale quantitative analyses.
  • Author or co-author publications.

*Position will be for 1-year from Fall 2024, non-renewable.

Basic Qualifications Ph.D. in economics or related field at the time of appointment.
Additional Qualifications SPECIFIC JOB SKILLS
  • Strong quantitative background in econometrics or statistics.
  • Demonstrated expertise (e.g., publication) in economic history and labor economics.
  • Experience working with large historical data sets.
  • Strong quantitative background in econometrics or statistics.
  • Proficiency in statistical programming languages (R, Python, Stata).
  • Excellent organizational skills as well as written and verbal communication skills.
  • Ability to pursue research questions independently and as part of a team
Special Instructions Candidates are required to submit a CV, cover letter stating why they are qualified for the post-doc, letters of recommendation from three ladder faculty, and at least one paper or publication in the area of economic history and/or labor economics.
Submission Deadline: Apply by March 1, 2024.
*Please note there is flexibility in the start date of the position.
Contact Information Shree Manari
Contact Email [email protected]
Equal Opportunity Employer We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.
Minimum Number of References Required 3
Maximum Number of References Allowed
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