The Information School 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.
The UW Information School is dedicated to hiring faculty that will enhance diversity and equal opportunity in higher education through their research, teaching, and service. As information systems and institutions serve increasingly diverse and global constituencies, it is vital to understand the ways in which differences in gender, class, race, ethnicity, religious affiliation, national and cultural boundaries, national origin, worldview, intellectual origin, and other identities can both divide us and offer us better ways of thinking and working. The Information School faculty are committed to preparing professionals who work in an increasingly diverse and global society by promoting equity and justice for all individuals, actively working to eliminate barriers and obstacles created by institutional discrimination.
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 foreign equivalent) by date of appointment. Our new colleague will join a broad-based, inclusive information school, in which faculty members teach across programs. University of Washington faculty engage in teaching, research and service. The University of Washington is a vibrant crucible of inclusive research and community outreach, situated between the Puget Sound and Lake Washington. The city of Seattle is a rapidly growing, dynamic, and diverse metropolitan area.
Review of applications will begin immediately and continue until the position is filled. Preference will be given to applications submitted by October 30, 2016. Selected candidates will be invited for campus visits. 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, gender expression, national origin, age, protected veteran or disabled status, or genetic information.
Applicants may find further information about the Information School at ischool.uw.edu. Application packages should include: CV, letter of intent including a statement on research and teaching, two selected publications, as well as a diversity statement (see below), and the names and contact information for three references.
The UW iSchool seeks top scholars in its faculty searches. Diversity is a core value and foundational concept in the Information School, and we are committed to building an inclusive and diverse faculty, staff, and student community. Please describe your experiences with diversity in your research, teaching and service, and/or your potential to bring diversity to the iSchool and the information field. Discuss your potential to mentor and educate students who will serve diverse populations.
For your reference please consult the UW iSchool’s diversity webpages:
Application materials should be sent via email, with “Data Ethics” in the subject line, to:
Dr. Emma Spiro and Dr. Adam Moore (iApply@uw.edu)
Co-Chairs, Data Ethics Search Committee
University of Washington Information School
Seattle, WA 98195-2840
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, gender expression, national origin, age, protected veteran or disabled status, or genetic information.