Math - Lecturer (Faculty Wage)

The University of Virginia's Department of Mathematics seeks applications to fill non-tenure track Lecturer positions during the 2023-2024 academic year.

Compensation will take the form of wages.

A relevant terminal degree or Master's degree is required . Candidates must have a strong commitment to teaching.

Questions regarding the application process in Workday should be directed to:

Zvezdana Kish, zk4g@virginia.edu, (434)924-9437.

For additional information about the position contact:

math-employment@virginia.edu

The University will perform background checks on all new hires prior to employment. This position will also require an Education Verification (FSAKA).

APPLICATION PROCESS:

Process for External Applicants: Please apply through Workday , and search for "MATH - Lecturer (Faculty Wage)". Complete an application online and attach a cover letter, CV/resume, and contact information for three professional references (name, email address, telephone number, and address).

Process for Internal UVA Applicants: Please apply through your Workday Home page, search "Find Jobs", and search for "MATH - Lecturer (Faculty Wage)". Complete an application online and attach a cover letter, CV/resume, and contact information for three professional references (name, email address, telephone number, and address).

For questions about this position or the application process please contact

Jen Krahn,Sr. HR Specialist, at jak8w@virginia.edu .

The University of Virginia, i ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician's Group and the Claude Moore Health Sciences Library, 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 or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.