About

Faculty Employment Opportunities

The University of Washington is committed to being one of the top information schools in the world. As part of this effort, we seek outstanding individuals to join our exceptional, interdisciplinary faculty. These new colleagues join a faculty eager to participate in a broad-based, inclusive Information School with academic programs at the bachelors, masters, and doctoral levels. Faculty in the Information School teach across all programs.

Lecturer or Senior Lecturer in Data Science

Posted: 10/25/2016
Deadline to Apply: Open until filled

The Information School (iSchool) at the University of Washington is seeking a Lecturer or Senior Lecturer with strong experience and expertise broadly in Data Science with a primary emphasis in one or more of the following areas:

● Probability and statistics 
● Machine learning

Expertise in data management, visualization, data ethics, and other topics associated with data science are also valuable, and will be taken into consideration in reviewing applicants. However, these areas should be supporting of a primary focus in statistics or machine learning.

The individual selected for this position will focus on teaching and is not required to engage in research (although research is not discouraged). Candidates should have a strong passion for teaching and student engagement, with prior instructional experience or demonstrated potential for excellence in teaching. Candidates will be expected to design and teach new course offerings that will be delivered at the undergraduate and graduates level. Candidates should be interested in developing innovative approaches to data science curriculum.

Applicants may find the full position announcement and instructions on how to apply here. Preference will be given to applications submitted by November 15, 2016. 

Lecturer or Senior Lecturer - Women in Technology & Professionalism in the Information Industry

Posted: 10/25/2016
Deadline to Apply: Open until filled

The Information School (iSchool) at the University of Washington is seeking a Lecturer or Senior Lecturer with strong experience and expertise in the following areas:

Women in STEM (Science, Technology, Engineering, and Math) – including increasing the participation of women and other under-represented groups in technology careers
Professionalism – including communication, teamwork, leadership, and interpersonal networking to strengthen students as they seek to excel professionally
Gender and Information Technology – including the importance of diversity and difference in the design and development of information systems

The individual selected for this position must have a passion for improving diversity and helping students become strong professionals within the information field. Candidates will be expected to create new curriculum and teach existing courses at the undergraduate and graduate level; must demonstrate a passion for excellence in teaching, mentoring, and student engagement.  Preference will be given to candidates with previous experience teaching at the university level as the primary course instructor; have experience managing teaching assistants; and have experience successfully delivering large lecture format courses with 75-150 students.  Candidates with industry experience, and candidates who have a demonstrated ability to establish or strengthen university/industry relationships associated with student mentorship and career development are highly desirable.

Applicants may find the full position announcement and instructions on how to apply here. Preference will be given to applications received by November 15, 2016.

Assistant Professor Tenure-Track in Native North American Indigenous Knowledge

Posted: 10/11/2016
Deadline to Apply: Open until filled

The Information School at the University of Washington is building an innovative program in Native North American Indigenous Knowledge.  We are seeking the second of two creative and forward-thinking Assistant Professors to catalyze this growth, and contribute to our program in this area.  We study the institutions, community practices, philosophies, and policies related to knowledge, information, and technology in support of tribal sovereignty.

Candidates that do work in Native North American Indigenous Knowledge should have competencies in the areas of theoretical, quantitative, or qualitative techniques and demonstrate a passion to effect change through information research.  We expect candidates to demonstrate successful work with North American bands, tribes, or nations, and to be grounded in the Native North American experience.

The University of Washington is a vibrant center of inclusive research and community outreach.  In 2015, the University of Washington opened wǝɫǝbʔaltxʷ (“Intellectual House” in the Lutshootseed language), a Coast Salish longhouse-style building.  As a UW resource, wǝɫǝbʔaltxʷ was established for the pursuit of academic excellence.  It is a teaching and gathering space for Native American students, faculty, staff, Native groups, and the University of Washington community.

We are interested in work at the intersection of Native North American communities and the information field, writ large.  As a school we acknowledge our position on Native land, and we are committed to making Native voices heard in every part of our school.

The Information School is highly interdisciplinary in nature, and candidates should have an interest in, or a potential for, a wider contribution to the interdisciplinary field of information.  We will consider candidates from the sciences, the social sciences, and the arts and humanities.  The strongest candidates, regardless of disciplinary background, will demonstrate a commitment to educating future information professionals.  

This is a full-time 9-month tenure track appointment anticipated at the rank of Assistant Professor (job class code 0116).  Applicants must have a Ph.D. (or international equivalent) by date of appointment.

Applicants may find the full position announcement and instructions on how to apply here. This position is open until filled.

Distinguished Practitioner in Residence

Posted: 9/14/2016
Deadline to Apply: Open until filled

The University of Washington Information School (iSchool) is building an innovative research program in the Future of Libraries and Librarianship. We seek a creative, forward-thinking Professor of Practice to catalyze this strategic initiative.

This distinguished practitioner in residence will serve as a bridge between academia and the public library field, and lead the way towards enhancing the education of future librarians. He or she will have the opportunity to bring his or her vision, expertise, and leadership experience to bear on a particular aspect of the library field to which they wish to contribute new ideas and knowledge in the form of a research or design project.

The distinguished practitioner in residence will teach courses in the Master of Library and Information Science (MLIS) program as well as conduct a practice-based project with practical outcomes for the future of the field. This may involve engagement with students, other faculty, and other institutions, depending on the scope and nature of the project, but the results will be made available to the field through presentations, publications, and other dissemination methods appropriate to the work. This distinguished practitioner in residence will also be asked to contribute to the teaching mission of the school and the shaping of the MLIS curriculum to better reflect the needs of the future of public libraries. This may consist of the revision of current core courses, the development of new courses and new specializations within the curriculum, or the integration of some of the iSchool’s cross-disciplinary courses into the MLIS curriculum, as well as special courses directly related to this individual’s area of expertise and interest.

This position is a two year full-time 9-month appointment anticipated at the rank of Professor of Practice, not tenure eligible (job class code 0120). Candidates should demonstrate a strong commitment to bridging teaching, service, and practice. 

Applicants may find the full position announcement and instructions on how to apply here. Preference will be given to applications received by December 1, 2016.

Assistant Professor Tenure-Track in Human-Computer Interaction for Social Good

Posted: 9/2/2016
Deadline to Apply: Open until filled

The Information School of the University of Washington seeks a tenure-track Assistant Professor in the field of Human-Computer Interaction (HCI) with special emphasis on work pursuing the social good. Broadly defined, “social good” topics include, but are not limited to, work in service of education, health and well-being, human values, international development, justice, marginalized communities, people with disabilities, or sustainability. As a highly interdisciplinary academic unit, the UW Information School currently houses and welcomes HCI researchers from all relevant methodological backgrounds, including researchers who build, design, and/or study interactive systems. We welcome applicants from all fields that contribute to HCI, including computer science, design, information science, social & behavioral science, and related disciplines. Competitive applicants will have evidence of demonstrated research excellence and effective and engaging teaching, as well as a commitment to service to their department and/or to the HCI field.

The UW Information School brings together faculty and students in HCI and Design pursuing topics concerned with the social good. Current faculty and students are leaders in accessible computing, computing education, digital youth, health and wellness informatics, homeless youth, ICT4D, information ethics, and value sensitive design, to name a few. We welcome applications from all disciplines that will deepen and/or extend our focus on HCI for social good.

Applicants may find the full position announcement and instructions on how to apply here. Preference will be given to applications received by December 1, 2016.

Assistant Professor Tenure-Track in Data Ethics

Posted: 9/2/2016
Deadline to Apply: Open until filled

The Information School (iSchool) of the University of Washington seeks a tenure-track Assistant Professor in the area of Data Ethics. At the Information School, we believe that data can improve people’s lives, and that pioneering research in data science and related fields can make data work for the betterment of society. At the same time, such work raises important ethical questions about how new forms of data analysis are impacting privacy, liberty, and security.

We are seeking a candidate who demonstrates the potential to establish a program of high quality research focused on the ethical, legal, and policy issues related to data science with current areas of expertise including, but not limited to:
• data science methods
• computational social science
• data curation
• information visualization
• data-driven design
• information retrieval
• knowledge organization

Applicants can be of any disciplinary training and should be excited to join a multi-disciplinary faculty. Competitive candidates will demonstrate research excellence, teaching effectiveness and a commitment to diversity. Candidates with expertise in ethical theory and applied ethics are especially encouraged to apply.

Applicants may find the full position announcement and instructions on how to apply here. Preference will be given to applications received by October 30, 2016.

Information Systems (IS) Analysis and Design – Lecturer or Senior Lecturer

Posted: 8/19/2016
Deadline to Apply: Open until filled

The Information School (iSchool) at the University of Washington is seeking a Lecturer or Senior Lecturer with strong industry and/or teaching experience and expertise in the analysis, design and implementation of Information Systems in organizational contexts. We are particularly interested in candidates with expertise in one or more of the following areas:
•Enterprise systems
•Information systems strategic planning
•Systems development methodologies (e.g., SDLC/waterfall, Rapid Application Development, agile, etc.)
•Requirements elicitation, design and management
•Data and process modeling (data flow, activity, use-case, etc.)
•Development strategies (build, buy, rent)
•System architecture (e.g. structure, legacy systems, security, processing)
•IS project management
•Change Management

The individual selected for this position will focus on teaching and is not required to engage in research. Candidates should have a strong passion for teaching and student engagement. Prior instructional experience at the college level, particularly in IS analysis and design, IS project management, systems thinking, or introduction to MIS is preferred. Industry experience in IS analysis and design, consulting, and/or IS project management with demonstrated potential for excellence in teaching is also highly desirable. Candidates will be expected to design and teach new course offerings that will be delivered at the undergraduate and graduate level. Finally, candidates should be interested in developing innovative approaches to the curriculum.

Applicants may find the full position announcement and instructions on how to apply here. Preference will be given to applications received by September 15, 2016.

Lecturer or Senior Lecturer in Database Management

Posted: 8/4/2016
Deadline to Apply: Open until filled

We are seeking a Lecturer or Senior Lecturer with strong experience and expertise in one or more of the following areas:
• Relational database management systems including relational theory and SQL
• Database design and modeling
• Database administration including issues such as performance, scalability, privacy, security, data pricing, or energy-constrained processing
• Data warehousing
• Cloud database platforms
• NoSQL databases, key-value stores, data stream processors, and MapReduce frameworks
• Database integration with web, mobile, Internet of Things, and other application areas

The individual selected for this position will focus on teaching and is not required to engage in research. Candidates should have a strong passion for teaching and student engagement, with prior instructional experience or demonstrated potential for excellence in teaching. Candidates will be expected to design and teach new course offerings that will be delivered at the undergraduate and graduate level. Finally, candidates should be interested in developing innovative approaches to database curriculum.

Applicants may find the full position announcement and instructions on how to apply here.  Preference will be given to applications received by October 15, 2016.

Questions regarding openings at the Information School should be directed to iApply@uw.edu. We will do our best to respond to your inquiry within 2 business days.

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

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