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.
The Information School (iSchool) of the University of Washington seeks an Assistant or Associate Teaching Professor (non tenure-track) in the field of Data Science and Social Justice. We encourage applicants from all disciplines including computing, information, statistics, social and behavioral sciences, and race and social justice. As a highly multidisciplinary academic unit, the iSchool welcomes teaching faculty from all relevant backgrounds. We are particularly interested in applicants whose work in Data Science has relevance to pressing social issues related to diversity, equity, and inclusion - especially furthering racial justice, reconciliation, and repair.
Competitive applicants will have evidence of excellent, inclusive, and engaging teaching. The successful applicant will teach technical courses in areas such as databases and data modeling, data and business analytics, data/information visualization, or machine learning. Through their teaching, they will demonstrate to students the ways in which data science can be used to exclude, marginalize, privilege, and even harm people, groups, and societies (e.g. misleading data visualizations, selective data collection practices, exclusionary data schemas, biased training data or algorithms, amplification of exclusionary processes, or surveillance). The candidate will also teach the value of data science methods and ways that these challenges can be addressed, with an appreciation of the larger ramifications surrounding matters of social justice.
Please click here for more information about the position and application instructions: http://apply.interfolio.com/78522
The University of Washington Information School is seeking a creative and energetic individual 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 be 1) an engaged teacher and mentor, 2) an expert in one or more domains of information technology below, and (3) engage diversity, equity, inclusion, and justice in the context of teaching technical topics.This is an opportunity to add your voice and expertise to a diverse, intellectually stimulating, and interdisciplinary academic environment committed to social justice.
The successful candidate will be expected to teach and address sociotechnical issues in one or more of the following areas (listed alphabetically):
- Data Science including Analytics, Business Intelligence, Machine Learning
- Databases and Data Modeling
- Client-side and Server-side Web Development
- Human-Computer Interaction and Design
- Data Visualization
- Mobile App Development
- Networking, Cloud, and DevOps
- Software Engineering
While technical expertise in the above is key, the successful applicant will be expected to address ways in which technology can be designed and used to oppress, exclude, or harm people, societies and the environment (e.g., via inaccessible user interfaces, exclusionary data schemas, misleading data visualizations, exploitative data collection practices, racially biased applications of machine learning). The successful applicant will be expected to engage with social justice in their teaching of technical topics (e.g., using approaches such as value sensitive design, design justice).
Please click here for more information about the position and application instructions: http://apply.interfolio.com/76987
The Information School of the University of Washington seeks a tenure-track Assistant Professor in the field of Human-Computer Interaction (HCI) to teach and engage in research dedicated to designing, building, and/or studying interactive technologies for the good of people, organizations, society, or the environment. We encourage applicants from all disciplines in HCI, including information, computing, engineering, social and behavioral science, and design. As a highly multidisciplinary academic unit, the UW Information School houses and welcomes HCI researchers from all relevant methodological backgrounds. We are particularly interested in applicants whose work has relevance to pressing social issues, including strengthening democracy, improving the environment, promoting human health and well-being, or furthering racial justice, reconciliation, and repair.
Competitive applicants will have evidence of demonstrated research excellence and effective and engaging teaching. The successful applicant will be expected to engage in service for their department and the broader HCI field. The successful applicant will also be expected to conduct research that not only furthers possibilities for human-computer interaction, but also shows an understanding of the ways that technology can and has been used to exclude, marginalize, privilege, and even harm people, societies, and the environment (e.g., via inaccessible user interfaces, exclusionary data schemas, misleading data visualizations, selective data collection practices, biased training data or algorithms, unobtainable technologies for learning, inadequate Internet access in rural communities, inscrutable face and image classifiers, deep fakes, and many other ways). The Assistant Professor will be expected to excel in their work while also understanding its possible social limitations and harms, and who appreciate the larger ramifications surrounding interactive technologies, especially concerning matters of social justice.
Please click here for more information about the position and application instructions: http://apply.interfolio.com/76985
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.