Applications must include: (a) letter of application that describes experience with empirical, methodological, or theoretical scholarship on social norms ; (b) curriculum vita; (c) job market paper; (d) 2 reference letters. Submit via email to firstname.lastname@example.org. The deadline for receipt of all materials is January 15, 2020.
Selected candidates will be interviewed after the 2020 ASSA Meetings in San Diego, January 3-5. The appointments are scheduled to begin as early as May, 2020.
This is a Postdoctoral Fellowship in behavioral economics at the University of Michigan School of Information working under the supervision of Dr. Erin Krupka.
The fellowship research focuses on social norms as they apply to social identity and behavior in groups and on networks. The aim of the work is to advance explanations of the dynamics of norm adherence in groups; how noms spread from one group to another; and the impact of norms on community processes such as the integration of diverse sub-groups or enforcement or rules.
The position will also include time to develop independent research and to form collaborative research projects with faculty. In addition to research, the Post Doc. will be expected to be actively involved with school and associated-center activities and events, including our weekly lab meeting as well as our weekly seminar.
The postdoctoral associate will have access to university resources and receive a competitive annual salary of $65,000, benefits, a relocation allowance, a research/travel allowance, an office space and a computer to use.
The position can start as early as May, 2020 and will continue for two years, subject to a satisfactory first-year evaluation.
The School of Information is unique in our combination of social and technical approaches to understand fundamental phenomena of the digital age. We are home to the Behavioral Experimental Economics (BEE) laboratory on campus and have a vibrant community of economists at the school. Our faculty have degrees in computer science, communication, economics, education, history, human-computer interaction, information studies, information systems, learning sciences, library and information studies, social and decision science, technology and social behavior to name a few.
A preferred candidate should have a Ph.D. degree in economics, decision sciences or related discipline. Applicants must have completed their PhD or demonstrate that they will do soby August 30th, 2020. They must have an existing research portfolio that demonstrates interest in, and experience with empirical, methodological, or theoretical scholarship on social norms. They should have a high level of technical skills, expertise in a range of quantitative methods, and experience with experimental design. They should have strong writing and communication skills.
The University of Michigan, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University of Michigan is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, height, weight, or veteran status in employment, educational programs and activities, and admissions. Inquiries or complaints may be addressed to the Senior Director for Institutional Equity, and Title IX/Section 504/ADA Coordinator, Office of Institutional Equity, 2072 Administrative Services Building, Ann Arbor, Michigan 48109-1432, 734-763-0235, TTY 734-647-1388. For other University of Michigan information call 734-764-1817.
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
The University of Michigan is an equal opportunity/affirmative action employer.
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About University of Michigan - Ann Arbor
A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.