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.
Commitment to Diversity
Committed to attracting and retaining a diverse faculty and staff, the University of Washington will honor your experiences, perspectives and unique identity. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable and welcoming.
The University of articulates its commitment in the UW Diversity Blueprint.
Additionally, the University’s Faculty Code recognizes faculty efforts in research, teaching and/or service that address diversity and equal opportunity as important contributions to a faculty member’s academic profile and responsibilities.
Assistant Professor, Teaching Track, in Data and Information Science
Description
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, (3) engage diversity, equity, inclusion, access, and justice in the context of teaching technical topics, and (4) contextualize the material where possible in service of iSchool strategic priorities in environmental sustainability and resilience, working toward a more informed, just, and equitable democratic society, and promoting equity in health & well-being.
The successful candidate will be expected to teach and address sociotechnical issues in one or more of the following areas (listed alphabetically). Positive factors for consideration include, but are not limited to, candidates with expertise in one or more areas with emphasis on the following:
Client-side and Full-Stack Web Development
Cybersecurity
Databases and Data Management
Data Science including Business Intelligence, Machine Learning, Visualization
Design, User Experience, and Human-Computer Interaction
Information ethics/policy/society
Mobile Application Design Development
Networking and Cloud
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.
Please visit this link for more information and to apply for this position: https://apply.interfolio.com/99982
Assistant Professor, Tenure-Track, in Data and Information Science
Description
The University of Washington Information School is accepting applications for a tenure-track faculty position at the Assistant Professor level starting September 1, 2022, contingent upon funding approval.
As an interdisciplinary unit, we accept applications from candidates from broad backgrounds. Positive factors for consideration include, but are not limited to, candidates with expertise in the following research areas: data management, AI and machine learning, information visualization, HCI and design, or technology ethics and policy. This position will be expected to conduct research that engages with the University of Washington Information School’s strategic commitments to (1) promote equity in health & wellbeing, (2) encourage environmental sustainability and resilience, and (3) foster a more informed, just, and equitable democratic society.
The successful candidate will be expected to teach courses in their area of specialization as well as to advance our undergraduate curriculum in areas related to any of the following: databases, data science, HCI, design, software development, or ethics and policy. This position will be expected to seek and acquire extramural funding for research.
This position will be expected to contribute to our diverse interdisciplinary environment that respects a wide variety of research traditions and methods and is open to new areas and methods.
Please visit this link for more information and to apply for this position: https://apply.interfolio.com/99985
Postdoctoral Scholar - Computational Social Science
Position Description
The University of Washington, Information School (UW iSchool) invites applications for a Postdoctoral Scholar to work with Dr. Tanu Mitra on an ONR-YIP funded project titled “Influencing Communities and Narratives: New Techniques for Understanding Adversarial Influence Online.”
In collaboration with Dr. Mitra and her students, the postdoctoral scholar will contribute primarily to the above project, along with any other projects they may be interested in exploring on the topic of adversarial online influence and misinformation.
The Postdoctoral Scholar will also have the opportunity to engage with researchers at the Center for an Informed Public (CIP). The CIP is a multidisciplinary institute with a core mission aiming to resist strategic misinformation, promote an informed society, and strengthen democratic discourse. The CIP offers an exceptional opportunity to work closely with the Center’s faculty, including sociologists, information scientists, computer scientists, and policy experts. Located in Seattle, the position also offers opportunities for engagement with scholars and industry leaders in the area.
The project aims to study how adversarial online influence looks like in the Indian Ocean Region (IOR), particularly, in the Indian subcontinent through a series of large-scale quantitative analysis and experiments conducted on social media. Specific questions that the project will answer include: 1) What are the key vectors of adversarial influence operations in the IOR? How do mainstream media interact with new media (social media) and how do adversaries utilize this landscape to launch influence operations online in the IOR? 2) How do we characterize community-based and narrative-based influence in the region? 3) How can we interrogate and audit algorithms for adversarial influence in the IOR? This work will involve collecting and analyzing data from multiple social media platforms, constructing machine learning models, complementing quantitative analysis work with deep qualitative analysis, and developing and conducting audit experiments to measure influence in real-time online.
Please visit this link for more information and to apply for this position: https://apply.interfolio.com/96175
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.