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Seeking Applicants for Fall 2021 Lecturer Position

Position Details

Lecturer (non-tenure track)—AY 2021-22

Austin, Texas




The department is dedicated to the goal of building a culturally diverse and pluralistic faculty and staff committed to teaching and working in a multicultural and diverse environment. We are therefore interested in candidates who will contribute to such diversity and equal opportunity in higher education through their teaching.

The Department of Statistics and Data Sciences is seeking to hire one or more fixed-contract lecturers (non-tenure track) to teach undergraduate level courses in statistics and data science.  Fall 2021 is the anticipated start date. The positions may be full or part time. 

A Master's degree in Statistics or related field is required; Ph.D. in Statistics or related field is preferred, at the time of appointment. Previous teaching experience is preferred. The full-time teaching load is three courses per semester.

All applicants should submit a cover letter, a CV and a statement of teaching philosophy, and should arrange for three letters of support to be provided under separate cover. Collectively, these letters should provide the search committee with information that can be used to assess the candidate’s (potential) teaching abilities and breadth of knowledge about the practice of of statistics and data science. Applicants should not submit any supplemental material. 

Background check will be conducted on applicants selected for the positions. 

Applications will continue to be accepted until the position is filled, but the review of applications will begin on or around July 2, 2021.  

The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

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