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Assistant Professor, Teaching Track, in Data Science

University of Washington, The Information School

Application Deadline: October 01, 2023.

The Information School of the University of Washington seeks an Assistant Teaching Professor in Data Science. This position will be expected to teach the study, design, and development of information technology for the good of people, organizations, society, and the environment. The successful applicant will be expected to

  1. be an engaged teacher and mentor,

  2. engage in one or more domains of information technology below, and

  3. engage diversity, equity, inclusion, access, and justice in the context of teaching technical topics.

The successful candidate will be expected to apply Data Science and theory in their teaching, with domain applications including but not limited to the environment, justice, or health and well-being. The successful candidate will also be expected to teach and address sociotechnical issues in one or more of the following areas (listed alphabetically below).

Positive factors for consideration include, but are not limited to, candidates with expertise in one or more areas with an emphasis on the following:

  • Artificial Intelligence and Ethics

  • Client-side and Full-Stack Web Development

  • Cybersecurity

  • Databases, Data Management, and Data Curation

  • Applied Data Science including Business Intelligence, Machine Learning, Visualization

  • Deep Learning

  • Design, User Experience, and Human-Computer Interaction

  • Information Ethics/Policy/Society

  • Mobile Application Design Development

  • Natural Language Processing

  • Networking and Cloud Privacy in Data Science

  • Program and Product Management

  • Software Engineering

The successful candidate will be expected to engage in teaching in ways in which technology can be designed to minimize and mitigate its harm to people, societies and the environment (e.g., via inaccessible user interfaces, exclusionary data schemas, misleading data visualizations, exploitative data collection practices, learned discrimination in machine learning). The successful applicant will be expected to engage with social justice topics in their teaching of technical topics.

Successful candidates will join a broad-based, inclusive Information School that offers multiple degree programs at the undergraduate and graduate level and is committed to the values of leadership, innovation, and diversity. The iSchool’s undergraduate major and minor in Informatics have grown to be among the most popular and most competitive programs at UW; this individual will be a key contributor to their ongoing success.

Teaching professors are an integral part of the faculty of the iSchool. We provide mentorship, a career path, and opportunities for leadership in the school. This is a full-time appointment at the rank of Assistant Teaching Professor. This position includes faculty voting rights but is not tenure eligible. The University of Washington is on the quarter system (autumn, winter, spring) and teaching professors typically teach two courses per quarter (6 courses over 9 months) with summers off. Opportunities for summer teaching are often available. University of Washington teaching professors engage in teaching, mentorship, and service. Scholarship is supported and encouraged, including innovations in teaching, leadership in teaching communities of practice, and teaching mentorship.

The University of Washington is a vibrant community of inclusive research and community outreach, situated between Puget Sound and Lake Washington, in the city of Seattle, on the traditional territories of the Coast Salish peoples. Seattle is a rapidly growing, dynamic, and diverse metropolitan area.

The UW Information School is dedicated to hiring faculty who will enhance our inclusion, diversity, equity, access, and sovereignty (IDEAS) mission and vision through their research (as applicable), teaching, and service. As information systems and institutions serve increasingly diverse and global constituencies, it is vital to understand the ways in which differences in gender, class, race, ethnicity, religious affiliation, national and cultural boundaries, national origin, worldview, intellectual origin, ability and other identities can both divide us and offer us better ways of thinking and working. The Information School faculty are committed to preparing professionals who work in an increasingly diverse and global society by promoting equity and justice for all individuals, actively working to eliminate barriers and obstacles created by institutional discrimination.

The position is a full-time 9-month teaching track appointment at the rank of Assistant Teaching Professor. Available start dates are January 1, 2024, March 1, 2024 or September 1, 2024. Applicants may find further information about the Information School at

The base salary for this position will be $10,500 - $11,500 per month ($94,500 - $103,500 per 9-month academic year), commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination.

Qualifications Applicants must minimally have a master’s degree (or foreign equivalent) from a discipline that practices Data Science, including but not limited to social and behavioral sciences, biology, health sciences, computer science and engineering, and information and library sciences. Applicants must have 3 years of experience in a technical role in industry, government, or a nonprofit, or experience teaching at least one course as either the lead or assistant instructor.

Application Instructions Please apply here: Review of applications will begin immediately and continue until the position is filled. Preference will be given to candidates who apply by October 1, 2023. Other applications will be reviewed beginning on the 1st of each month until finalists are chosen. Select candidates will be invited for campus visits.

The initial application package must include a resume or CV, a cover letter, a diversity statement (see below), and names and contact information for three references, who may be contacted for letters of recommendation. We encourage you to choose references from anyone who can speak to your expertise, your ability to teach and mentor, or your general ability to collaborate and work in diverse settings. Short-listed candidates will later be asked to do a live teaching demonstration and submit a teaching statement. Details on these will be provided at the appropriate time.

Please note: The cover letter is important. Drawing on your background, please tell us about your technical expertise, examples of how you might incorporate issues of social justice into your teaching of technical material, and why you’d like to do this teaching at University of Washington Information School.

iSchool Diversity Statement Guidelines

Inclusion, diversity, equity, access, and sovereignty (IDEAS) are core values of the Information School, as described on our website: The Diversity Statement provides an opportunity for applicants to reflect on their research, teaching, and service accomplishments and goals that contribute to those values. We expect about a one-page statement that describes the applicants’ IDEAS efforts.



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