Carnegie Mellon University

Position Title/Short Description

Full Text of JOE Listing:

Tenure track position at the level of Assistant Professor (with interest and expertise in economics and machine learning)

The Heinz College at Carnegie Mellon University (www.heinz.cmu.edu) invites applications for a tenure track position at the level of Assistant Professor. We are looking for a scholar with interest and expertise in economics and machine learning. This is a new exciting domain that is attracting attention in economics, and that combines two areas in which Carnegie Mellon has considerable strength. The ideal candidate will have a research agenda at the intersection of these two areas. Economics fields and application areas are open, but should be broadly within applied microeconomics. For a description of economics at the Heinz College see http://heinz.cmu.edu/economics/index.aspx.

Economists at Heinz are part of a larger economics community at Carnegie Mellon, which includes colleagues at the Tepper School of Business and the Department of Social and Decision Sciences. Heinz also has close relationships with the Machine Learning Department in the School of Computer Science and with the Department of Statistics. The College offers PhDs in Public Policy and in Information Systems Management, and participates in joint PhD programs in Economics and Public Policy, Machine Learning and Policy, Statistics and Public Policy, and Strategy, Entrepreneurship, and Technical Change. Heinz has research centers in a wide variety of areas that provide research opportunities for faculty and students.

Applicants should submit a CV, one research paper, teaching and research statements, and three letters of recommendation. To receive full consideration, please apply by November 30, 2015.

Carnegie Mellon University is an equal opportunity employer and is committed to increasing the diversity of its community on a range of intellectual and cultural dimensions. Carnegie Mellon welcomes faculty applicants who will contribute to this diversity through their research, teaching and service, including women, members of minority groups, protected veterans, individuals with disabilities, and others who would contribute in different ways.