The University of Washington - Information School, often referred to as the UW iSchool, is a leading academic unit within the University of Washington (UW) in Seattle, Washington. Established as a hub for interdisciplinary studies, it focuses on how people interact with information, technology, and data in various contexts. Located on the picturesque UW Seattle campus overlooking Lake Washington, the iSchool attracts top talent from around the world for its innovative programs in informatics, data science, and library and information science.
Renowned for its contributions to fields like human-computer interaction and information retrieval, the UW iSchool consistently ranks among the top information schools globally. Prospective employees find a dynamic environment where cutting-edge research meets practical application, particularly in tech-driven Seattle, home to giants like Amazon and Microsoft. Jobs at University of Washington - Information School span teaching, research, and administration, offering opportunities to shape the future of information professions.
The school's emphasis on real-world impact draws professionals passionate about ethical data use, digital equity, and user-centered design. With strong ties to industry and government, roles here provide avenues for collaboration on projects addressing societal challenges like misinformation and privacy.
Founded in 1911 as the Library School and evolving into the Information School in 2001, the UW iSchool has a rich history rooted in library science but expanded to encompass broader information disciplines. Key milestones include launching the first PhD in Information Science in 1985 and pioneering informatics programs in the early 2000s, aligning with the digital revolution.
Its mission centers on advancing knowledge about information, people, and technology through education, research, and service. This commitment manifests in initiatives tackling data ethics, accessibility, and computational methods. Employees contribute to this legacy, working in a school that has produced leaders in academia, tech, and public policy.
Today, under dean Harry Bruce, the iSchool continues to innovate, with recent expansions in human-centered data science reflecting Seattle's tech ecosystem influence.
The UW iSchool offers bachelor's, master's, and doctoral degrees. Popular programs include the Bachelor of Science in Informatics, Master of Science in Information Management (MSIM), Master of Library and Information Science (MLIS), and PhD in Information Science. These attract students interested in data visualization, cybersecurity, and cultural informatics.
Research clusters cover data science, human-centered design, technology for social good, and information access. Faculty lead projects funded by NSF and NIH, exploring AI fairness and digital libraries. For those eyeing research jobs, the iSchool's labs provide state-of-the-art facilities.
Jobs at University of Washington - Information School include tenure-track faculty, lecturers, research scientists, postdocs, and administrative staff. Faculty positions often seek experts in machine learning for information systems or UX design. Lecturers teach core courses like information ethics.
Research roles involve grants on topics like computational journalism. Staff positions support operations, from IT to student services. For a full list of types of positions available, explore our dedicated guide. Current openings emphasize interdisciplinary hires blending computer science and social sciences.
Salaries are competitive, with assistant professors averaging $130,000, per recent data. Benefits include health coverage, retirement matching, and sabbaticals. Seattle's location enhances appeal, near tech firms for consulting opportunities.
To understand jobs at University of Washington - Information School, here are essential terms:
Required Academic Qualifications: Tenure-track roles demand a PhD in information science, computer science, communication, or allied fields. Lecturer positions accept a master's with teaching experience. Staff roles vary, often needing a bachelor's in relevant areas.
Research Focus or Expertise Needed: Priority on data-intensive computing, AI ethics, accessibility, and socio-technical systems. Expertise in natural language processing or network analysis is valued.
Preferred Experience: Publications in top venues like ACM CHI or JASIST, grant funding (e.g., NSF), and interdisciplinary collaborations. Teaching awards or industry experience strengthen applications.
Skills and Competencies:
UW iSchool seeks adaptable professionals thriving in collaborative settings.
Applications go through UW's faculty jobs site or Interfolio. Submit CV, cover letter highlighting fit, research/teaching statements (2-3 pages each), and 3-5 references. Deadlines cluster in fall for next-year starts.
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UW iSchool champions diversity via the Equity, Diversity, Inclusion (EDI) Committee, hosting workshops and affinity groups for underrepresented faculty. The Inclusive Hiring Toolkit guides searches, with goals for 50% diverse candidate pools. Partnerships like the PhD Scholars in Information & Library Science support BIPOC students transitioning to faculty. Annual EDI reports track progress, fostering an inclusive environment where diverse perspectives drive innovation.
UW Seattle promotes work-life balance with flexible hours, parental leave (up to 12 weeks), and wellness programs including gym access and counseling. The iSchool's supportive culture features mentorship and no-meetings Fridays. Campus life buzzes with seminars, hackathons, and proximity to Seattle's vibrant scene—hiking in Cascades, Pike Place Market, and tech meetups. Hybrid options post-COVID aid balance, with strong union support for faculty.
Jobs at University of Washington - Information School offer rewarding careers in a top-ranked program amid Seattle's innovation hub. From faculty to research roles, opportunities abound for qualified professionals. Explore more higher ed jobs, get career advice via higher ed career advice, browse university jobs, or post a job to attract talent.
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