JOE Listings (Job Openings for Economists)
February 1, 2020 - July 31, 2020
University of Chicago
Position Title/Short Description
Section: US: Full-Time Academic (Permanent, Tenure Track or Tenured)
Location: Chicago, Illinois, UNITED STATES
JEL Classification: 00 -- 00 - Default: Any Field
Full Text of JOE Listing:
The Division of Social Sciences at the University of Chicago invites applications for a position as Instructional Professor (IP) in the MA program in Computational Social Science (MACSS, capable of teaching courses in computational economics.
This is a full-time, career-track teaching position; start date is flexible between autumn 2020 through autumn 2021. The initial two-year appointment is renewable with opportunity for promotion. Appointments at the Assistant, Associate, and Full Instructional Professor rank will be considered.
The IP will annually teach five courses in MACSS, including at least two sections of a required MACSS sequence, with syllabi tailored to computational economists. The other three courses may cover a variety of approaches in computational economics, including some combination of machine learning, modeling, simulation, data visualization, or behavioral research drawing on sensors, data scraping, or large data analysis. Other possibilities include graduate level introductions to econometrics, microeconomics, or macroeconomics.
In addition, the IP will advise MA students, advise a limited number of MA theses as the primary supervisor; hire and manage teaching assistants; help lead the MACSS Computation Workshop; contribute to program admissions, staff hiring, and student recruitment; help train our doctoral student preceptors; and contribute to the intellectual life and administrative needs of the program.
The position includes support for professional development. The IP will join a dynamic community of social science researchers.
Applicants must have a PhD in Economics. Industry experience is valued, but not required. The IP must have the PhD in hand prior to the start date. Teaching experience is required, and preference will be given to candidates who have demonstrated experience guiding students on thesis research and writing. Applicants must have demonstrated experience advising students with a broad range of interests and a track-record of interdisciplinary scholarship. Preference will be given to candidates with a demonstrated record of working on a team to design and deliver a curriculum.
Applicants must apply online at the University of Chicago's Interfolio website at . The following materials must be submitted: 1) a cover letter, outlining the applicant’s prior computational training, prior teaching or mentoring experience, and suggested course offerings in our MA program; 2) a curriculum vitae; 3) an article-length writing sample applying a computational research design; 4) at least one course syllabus from prior teaching or with an eye to future offerings; 5) course evaluations or other evidence of past excellence in teaching or mentoring; and 6) three letters of reference.
Review of applications will begin on July 15 and will continue until the position is filled or the search is closed.
This position will be part of the Service Employees International Union.
Equal Employment Opportunity Statement
We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages diverse perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-1032 or email equalopportunity@ with their request.