Assistant or Associate Teaching Professor in Statistics

Position Description:

Applications are invited for a non-tenure track Assistant or Associate Teaching Professor position in Statistics. This is a full-time position with a 9-month service period (September 16 – June 15), commencing no earlier than September 16, 2022.  The successful candidate will be expected to teach at both introductory and advanced undergraduate levels, and to engage in a thoughtful and modern approach to statistical pedagogy.

The Department of Statistics at the University of Washington (UW) is a nationwide leader in statistics research and education.  The successful candidate will join a growing group of over 25 full-time faculty members who are deeply involved in growing and diversifying the data science and statistics curriculum offered by the department. 

All UW faculty members engage in teaching and service.  Duties of this position include undergraduate teaching in statistics and data science, student mentoring, and related department activities such as course coordination and supervision of teaching assistants, and departmental service.  Candidates are encouraged to review the UW statistics course catalog (http://www.washington.edu/students/crscat/stat.html) and identify courses they would be qualified to teach as part of their cover letter. Interested and qualified candidates may also have opportunities to engage in course development and redesign and in some aspects of graduate education.

The initial appointment to this position is for three years, with the possibility of renewal.  Our goal is to recruit a strong candidate who will build a long and successful career that advances the teaching mission of the department. Promotion to higher academic ranks (Associate/Full Teaching Professor) will be assessed based on departmental and college criteria.

 

Qualifications:

Applicants must have a Ph.D., or foreign equivalent, in statistics, biostatistics, computer science, data science,  or a related field by the start of the appointment.

 

Application Instructions:

Applicants should submit a letter of interest, curriculum vitae, statements of diversity, and teaching interests, sample teaching materials (optional), and three letters of recommendation electronically via https://apply.interfolio.com/94380. A thoughtful, comprehensive diversity statement is a key component of the application. Priority will be given to applicants whose complete applications, including recommendations, are received by December 15, 2021. Questions about the search should be sent to: Dr. Adrian Dobra, Professor of Statistics, adobra@uw.edu

 

Equal Employment Opportunity Statement

University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, marital status, pregnancy, genetic information, gender identity or expression, age, disability, or protected veteran status.

 

Commitment to Diversity

The University of Washington is committed to building diversity among its faculty, librarian, staff, and student communities, and articulates that commitment in the UW Diversity Blueprint (http://www.washington.edu/diversity/diversity-blueprint/). Additionally, the University’s Faculty Code recognizes faculty efforts in research, teaching and/or service that address diversity and equal opportunity as important contributions to a faculty member’s academic profile and responsibilities (https://www.washington.edu/admin/rules/policies/FCG/FCCH24.html#2432).

 

COVID-19 Vaccine Requirements and Information

Under Washington State Governor Inslee’s Proclamation 21-14.1, University of Washington (UW) workers must be fully vaccinated against COVID-19 and provide proof thereof, or receive a UW-approved medical or religious exemption. This requirement will be a condition of any offer associated with this recruitment. For more information, please visit https://www.washington.edu/coronavirus/vaccination-requirement/.