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The Department of Classics at the University of Virginia seeks applicants for a three-year position as Assistant Professor of Classics on the Academic General Faculty track (tenure-ineligible), to start in the 2019–2020 academic year.

Curricular areas of need include Latin, Greek, and aspects of classical civilization. The teaching load is three courses per semester, predominantly at the undergraduate level but with the possibility of graduate instruction. Compensation will take the form of full-time salary with full-time benefits.

Applicants must hold a Ph.D. in Classics by May 2019. Candidates should have a strong commitment to teaching and an active research profile in Greek and/or Latin studies.

Applications will be considered beginning March 15, 2019 and the position will remain open until filled.

TO APPLY:

Upload the following materials at https://uva.wd1.myworkdayjobs.com/UVAJobs (Requisition number R0002571):

  • Cover Letter
  • CV
  • Evidence of teaching effectiveness
  • A brief writing sample (no more than 8,000 words)
  • Contact information for three references

In addition, applicants should arrange to have three letters of recommendation sent to clas-job@virginia.edu.

Direct questions regarding this position to John F. Miller, Interim Chair, jfm4j@virginia.edu

For information about the application process, please contact Savanna Galambos, Faculty search advisor, skh7b@virginia.edu

The University of Virginia, including the UVA Health System and the University Physician’s Group are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.