Paul G. Allen School of Computer Science & Engineering
Assistant Teaching Professor in the Paul G Allen School of Computer Science & En
Paul G. Allen School of Computer Science & Engineering, Seattle, Washington, us, 98127
Overview
The University of Washington's Paul G. Allen School of Computer Science & Engineering invites applications for a full-time Assistant Teaching Professor with a focus on teaching advanced undergraduate and graduate courses in artificial intelligence as well as program leadership in our AI-focused graduate programs. Assistant Teaching Professors are non-tenured faculty members who are hired on multi-year appointments with a 9-month service period (plus summer opportunities). The anticipated start date is September 1, 2026. All University of Washington faculty engage in teaching, scholarship, and service. Teaching professors are educational professionals who combine instructional excellence with a variety of leadership, community building, outreach, pedagogy advances, and other forms of scholarship. Our school offers a highly collegial and collaborative culture, with a range of teaching and curriculum-development opportunities in lower-division and upper-division courses for majors and non-majors, as well as in graduate courses. Responsibilities
Teach upper-division undergraduate and beginning-graduate courses in Artificial Intelligence, Machine Learning, and related topics, with an emphasis on curriculum development, student success, and mentoring teaching assistants. Provide faculty leadership for the new Graduate Certificate, including curriculum design; collaboration with other instructors; managing student recruitment, admissions, and retention; maintaining educational infrastructure and tooling; and related activities. Provide faculty leadership on ways to grow AI education and complement offerings from campus partners in ways that promote a diverse and inclusive community. Prepare and teach advances undergraduate and/or introductory graduate courses in Artificial Intelligence, create and manage new educational programs, and collaborate with faculty to develop new curriculum and programs. Qualifications
This position requires at least a Masters degree (or foreign equivalent) in a relevant field. A PhD (or foreign equivalent) in a relevant field is also acceptable. Candidates must have a demonstrated record of excellence in teaching (instructor or teaching assistant). Evaluation Criteria
Candidates will be evaluated on teaching, curriculum development, service, mentoring, broadening participation in the field, and overall academic leadership. Application Instructions
Applications received by November 15, 2025 will be given priority consideration. Applications will only be accepted via Interfolio. Prepare PDF files for the following requested materials: your cover letter, a complete curriculum vitae, a teaching portfolio, and a diversity statement. The teaching portfolio should address: teaching experience and interests, teaching philosophy and methods, and evaluation of teaching effectiveness. You are also asked to provide three confidential letters of recommendation. For the diversity statement, provide a short statement that details your contributions to and/or plans to advance UW's diversity mission: https://www.washington.edu/diversity/diversity-blueprint/ For any administrative issues or inquiries related to the search, please contact
frc-teaching@cs.washington.edu . For technical issues, please contact Interfolio staff at 877-997-8807 or
help@interfolio.com . 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. Benefits Information A summary of benefits associated with this title/rank can be found at
https://hr.uw.edu/benefits/benefits-orientation/benefit-summary-pdfs/ . Appointees solely employed and paid directly by a non-UW entity are not UW employees and are not eligible for UW or Washington State employee benefits. 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 Universitys Faculty Code recognizes faculty efforts in research, teaching and/or service that address diversity and equal opportunity as important contributions to a faculty members academic profile and responsibilities ( https://www.washington.edu/admin/rules/policies/FCG/FCCH24.html#2432 ). Privacy Notice Review the University of Washington
Privacy Notice for Demographic Data of Job Applicants and University Personnel
to learn how your demographic data are protected, when the data may be used, and your rights. Disability Services To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or
dso@uw.edu . recblid 3hgpyqbz2nnfww9i6w9b03srdk54y4
#J-18808-Ljbffr
The University of Washington's Paul G. Allen School of Computer Science & Engineering invites applications for a full-time Assistant Teaching Professor with a focus on teaching advanced undergraduate and graduate courses in artificial intelligence as well as program leadership in our AI-focused graduate programs. Assistant Teaching Professors are non-tenured faculty members who are hired on multi-year appointments with a 9-month service period (plus summer opportunities). The anticipated start date is September 1, 2026. All University of Washington faculty engage in teaching, scholarship, and service. Teaching professors are educational professionals who combine instructional excellence with a variety of leadership, community building, outreach, pedagogy advances, and other forms of scholarship. Our school offers a highly collegial and collaborative culture, with a range of teaching and curriculum-development opportunities in lower-division and upper-division courses for majors and non-majors, as well as in graduate courses. Responsibilities
Teach upper-division undergraduate and beginning-graduate courses in Artificial Intelligence, Machine Learning, and related topics, with an emphasis on curriculum development, student success, and mentoring teaching assistants. Provide faculty leadership for the new Graduate Certificate, including curriculum design; collaboration with other instructors; managing student recruitment, admissions, and retention; maintaining educational infrastructure and tooling; and related activities. Provide faculty leadership on ways to grow AI education and complement offerings from campus partners in ways that promote a diverse and inclusive community. Prepare and teach advances undergraduate and/or introductory graduate courses in Artificial Intelligence, create and manage new educational programs, and collaborate with faculty to develop new curriculum and programs. Qualifications
This position requires at least a Masters degree (or foreign equivalent) in a relevant field. A PhD (or foreign equivalent) in a relevant field is also acceptable. Candidates must have a demonstrated record of excellence in teaching (instructor or teaching assistant). Evaluation Criteria
Candidates will be evaluated on teaching, curriculum development, service, mentoring, broadening participation in the field, and overall academic leadership. Application Instructions
Applications received by November 15, 2025 will be given priority consideration. Applications will only be accepted via Interfolio. Prepare PDF files for the following requested materials: your cover letter, a complete curriculum vitae, a teaching portfolio, and a diversity statement. The teaching portfolio should address: teaching experience and interests, teaching philosophy and methods, and evaluation of teaching effectiveness. You are also asked to provide three confidential letters of recommendation. For the diversity statement, provide a short statement that details your contributions to and/or plans to advance UW's diversity mission: https://www.washington.edu/diversity/diversity-blueprint/ For any administrative issues or inquiries related to the search, please contact
frc-teaching@cs.washington.edu . For technical issues, please contact Interfolio staff at 877-997-8807 or
help@interfolio.com . 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. Benefits Information A summary of benefits associated with this title/rank can be found at
https://hr.uw.edu/benefits/benefits-orientation/benefit-summary-pdfs/ . Appointees solely employed and paid directly by a non-UW entity are not UW employees and are not eligible for UW or Washington State employee benefits. 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 Universitys Faculty Code recognizes faculty efforts in research, teaching and/or service that address diversity and equal opportunity as important contributions to a faculty members academic profile and responsibilities ( https://www.washington.edu/admin/rules/policies/FCG/FCCH24.html#2432 ). Privacy Notice Review the University of Washington
Privacy Notice for Demographic Data of Job Applicants and University Personnel
to learn how your demographic data are protected, when the data may be used, and your rights. Disability Services To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or
dso@uw.edu . recblid 3hgpyqbz2nnfww9i6w9b03srdk54y4
#J-18808-Ljbffr