Emory University

Position Title/Short Description

Full Text of JOE Listing:

The Department of Quantitative Theory and Methods (QTM) at Emory University seeks up to two faculty with expertise in causal inference, data science, and/or mathematical modeling. Ideal candidates should have a Ph.D. in statistics, public policy, economics, machine learning, computer science or related fields and are both engaging in methodological innovation and applying these innovations to important disciplinary questions. The positions are tenure-track at the level of Assistant Professor or, for the extraordinary file, tenured at the Associate Professor level. Teaching load is competitive.

QTM is a new and rapidly growing interdisciplinary department at Emory building an intellectual community at the intersection of causal inference, data science, mathematical modeling, and analytic theory, with a focus on both methodological innovation and disciplinary application. The successful candidate must demonstrate excellence or the promise of excellence in both research and teaching, as well as an interest in contributing to and participating in QTM’s intellectual mission. The candidate should have completed the Ph.D. by August 2021.

A complete application will consist of a cover letter, research statement, curriculum vitae, graduate transcript, teaching portfolio, writing sample, and three letters of recommendation. Please submit (along with other materials) a brief statement that reflects upon your experience and vision regarding the teaching and mentorship of students from diverse backgrounds. Application review will begin on October 26, 2020. Applications received up to 30 days after review begins will receive full consideration. To apply for this position, visit http://apply.interfolio.com/79099 and submit your materials free of charge through Interfolio.

Emory University is an Equal Opportunity/Affirmative Action/Disability/Veteran employer. The Department of Quantitative Theory and Methods, Emory College, and Emory University are all strongly committed to recruiting female and minority candidates. Women, minorities, persons with disabilities and veterans are encouraged to apply.