Clinical Assistant Professor of Public Service
The Robert F. Wagner Graduate School of Public Service invites applications for a clinical faculty member with expertise in quantitative methods applied to policy-relevant research. We are seeking applicants interested in teaching core quantitative methods and reasoning to our Masters in Public Administration students and engaging in our curriculum needs in this and related Masters programs. Knowledge and experience in the use of advanced methods such as machine learning and survey methods would be an advantage. Candidates should describe how they have addressed (or would address) issues around diversity, equity, and inclusion in their teaching. A PhD in public administration, economics, education, political science, sociology, statistics, or related fields is required, with a degree conferred by August 31, 2018. Prior teaching experience is required.
Applications will be considered on a rolling basis and the successful candidate will begin September 1, 2018. Please submit a cover letter, resume/curriculum vitae, research publications (if available), teaching evaluations, and contact information for at least three professional references.
New York University is an Equal Opportunity Employer. New York University is committed to a policy of equal treatment and opportunity in every aspect of its hiring and promotion process without regard to race, color, creed, religion, sex, pregnancy or childbirth (or related medical condition), sexual orientation, partnership status, gender and/or gender identity or expression, marital, parental or familial status, caregiver status, national origin, ethnicity, alienage or citizenship status, veteran or military status, age, disability, predisposing genetic characteristics, domestic violence victim status, unemployment status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.