Georgia, United States
Salary Not specified
Nov 16, 2020
Employment Level
Non-Tenured Track
Employment Type
Full Time
The Department of Quantitative Theory and Methods at Emory University invites applications for a full-time lecturer to teach in the areas of machine learning, causal inference and the intersection of these fields. Responsibilities include Emory's standard lecture-track faculty teaching load of five courses, supporting administration of the undergraduate program through advising undergraduates, and participating in the life of the college through committees and other forms for academic service. Candidates must be excellent teachers, effective advisors, and have the potential to administer our undergraduate program. We are especially interested in candidates who have demonstrated ability to lead groups of students on capstone research projects and to administrate departmental programs.

Must have Ph.D. in Statistics, Economics, or related field and have two semesters of experience teaching at the undergraduate level. Administrative experience is preferred.

A complete application will consist of a cover letter, a research statement, curriculum vitae, graduate transcript, teaching portfolio, 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. The deadline to apply is December 2, 2020. To apply, please visit http://apply.interfolio.com/79506 to submit your materials free of charge through Interfolio.

Emory University is an Equal Opportunity/Affirmative Action/Disability/Veteran employer. QTM, Emory College, and Emory University are committed to recruiting female and minority candidates. Women, minorities, persons with disabilities and veterans are encouraged to apply.

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