Assistant Professor, Tenure-Track, Information Systems and Information Management

Assistant Professor, Tenure-Track, Information Systems and Information Management . University of Washington: Academic Personnel & Faculty: Information School . Seattle UW Campus . The Information School at the University of Washington invites applications for a tenure-track faculty position at the rank of Assistant Professor, with an anticipated start date of September 1, 2027.

We seek applicants who demonstrate commitment to excellence in research, teaching, and service in a diverse and inclusive academic community. The successful candidate will join our faculty on a full-time basis for a nine-month academic appointment, with a 3-year term, renewable beginning 2027. The base salary range for this position will be $13,000 - $14,935 per month, commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination.

The successful candidate will be expected to: Conduct high-quality research, and pursue extramural funding as needed to support research; Teach undergraduate and graduate courses in their area of specialization; Perform service that furthers the mission of the Information School and the University of Washington more broadly; and Contribute to the Information School’s strategic areas: climate change, health and wellness, healthy information environments, and responsibility in artificial intelligence. This position will contribute to research and teaching in Information Systems and Organizations, with a focus on the organizational integration, deployment, and impact of artificial intelligence (AI). We welcome applicants whose work examines the socio-technical, organizational, strategic, and human dimensions of AI in contemporary organizations. Areas of research interest include, but are not limited to: AI trust, governance, and responsible deployment within organizations AI-enabled transformation of work, organizations, and the future of work Human-AI collaboration, decision-making, and knowledge work AI strategy, digital transformation, and organizational capabilities Organizational adoption, implementation, and management of AI systems Ethical, equitable, and inclusive AI in organizational contexts AI and organizational learning, innovation, and performance All University of Washington faculty are expected to engage in teaching, research, and service.

About the University of Washington Information School Information is central to knowledge; to understanding; to impact. Amid the AI transformation, climate change and ongoing threats to public and civic health, information plays a pivotal role in giving everyone the tools to thrive. Our work advances effective information systems and equitable access to information by transforming practices within organizations large and small, and influencing public policy. The UW Information School is leading the global movement to devise information solutions that enrich people’s lives and tackle the world’s toughest challenges through our in-demand undergraduate and graduate level education and our interdisciplinary research centers and partnerships.

Together, our students, faculty, alumni and partners are actively creating a future where effective use of information can help everyone discover, learn, innovate, solve problems, and have fun. Information changes lives. Learn more at ischool.uw.edu. . Applicants for this position must meet the following minimum qualifications: Applicants must minimally hold a PhD (or foreign equivalent) by the date of appointment.

Applicants must have 3 years of experience in conducting research, inclusive of graduate studies. . To ensure full consideration of your application, please submit all materials no later than November 1, 2026. Priority will be given to those applications received by October 1, 2026. Applications will only be accepted via Interfolio: https://apply.interfolio.com .

The position will remain open until filled. Applications should include the following materials: Curriculum Vitae Cover Letter - Describe briefly your academic and professional background, your areas of research expertise, and your teaching interests. (1 page maximum) Research Statement - Describe your research agenda including your major work to date, your plans for future research, and the sources of potential funding for your research into the future. (3 pages maximum) Teaching Statement - Describe your approach to and experience teaching, in particular at the undergraduate or graduate level. Where appropriate, please include any experience designing courses, instructional materials, or curriculum development. (2 pages maximum) Throughout the materials above, applicants should articulate how their past experiences and/or future plans in research, teaching, mentoring, and/or service promote a sense of belonging and foster a welcoming and inclusive environment. Please also include contact information for 3 referees who are prepared to provide letters of recommendation upon request.