Emory University, The Department of Quantitative Theory and Methods

1277 20651Position ID: QTMatEmory-OPENRANK1 [#20651]
Position Title: Assistant, Associate, or Full Professor – AI Ethics
Position Type: Tenured/Tenure-track faculty
Position Location: Atlanta, Georgia 30322, United States [map] sort by distance
Subject Areas: ) computer science, economics, political science, statistics, or related field
Application Deadline: (posted 2022/09/13, listed until 2022/11/30)
Position Description:    

*** the listing date or deadline for this position has passed. ***

The Department of Quantitative Theory & Methods at Emory University invites applications for a tenured or tenure-track faculty member with a specialization in quantitative approaches to AI ethics to begin fall 2023. We are open to the academic discipline, including (but not exclusive to) computer science, economics, political science, statistics, or a related field.


The successful applicant will be an exceptional, active researcher with strong interdisciplinary experience. They will teach courses in quantitative methods and their applications to AI ethics at both the undergraduate and graduate levels. We are especially interested in applicants with expertise in

      algorithmic fairness, justice, accountability, and/or auditing;

      responsible, explainable, and/or participatory AI; and/or

      causal and/or experimental approaches to AI ethics.

The position is fully funded 9-month tenure-track, and open with respect to rank. The teaching load is competitive. A Ph.D. is required by time of appointment. 


QTM is a new and rapidly growing interdisciplinary department at Emory with faculty from a variety of disciplinary backgrounds including biology, computer science, economics, English, operations research, political science, public health, sociology, and statistics. The successful candidate must demonstrate excellence (or the promise of excellence) in research and teaching, as well as a strong ability to teach and mentor a diverse student body. The successful candidate will also demonstrate an interest in contributing to QTM’s intellectual mission and Emory’s university-wide AI.Humanity initiative. For more on AI.Humanity, see: https://aihumanity.emory.edu/. For a full list of ECAS faculty responsibilities, see: http://college.emory.edu/faculty/documents/faculty/faculty-responsibilities.pdf 

For every search, diversifying our faculty is of primary importance. Emory has a diverse student body and values both vision and experience that will foster an inclusive learning environment. All faculty applicants will be required to complete a brief statement describing their experience and vision regarding the teaching and mentorship of students of diverse backgrounds. In addition to this statement, a complete application will also consist of a cover letter, curriculum vitae, research statement, teaching portfolio, writing sample, graduate transcript, and three letters of recommendation. Review begins October 30, 2022. Applications received by November 28, 2022 will receive full consideration.


To apply for this position, please visit http://apply.interfolio.com/112365 and submit your materials free of charge through Interfolio.


Emory University is an equal employment opportunity and affirmative action employer. Women, minorities, people with disabilities and veterans are strongly encouraged to apply.

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.

We are not accepting applications for this job through Mathjobs.Org right now. Please apply at http://apply.interfolio.com/112365 .
Contact: Eva Lewandowski
Postal Mail:
Department of Quantitative Theory and Methods
532 North Kilgo Circle, 4th floor
Atlanta, GA 30322
Web Page: https://quantitative.emory.edu/people/faculty/qtm-is-hiring.html