2013-10-3: Job: Tenure‐Track Assistant Professor, Visualization and Analytics at the University of Washington

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Original URL: http://ap.washington.edu/advertisements/aa3552/

The University of Washington Information School is seeking an outstanding candidate in the area of visualization and analytics to join the school’s diverse, multidisciplinary environment. Scholars from all related areas and disciplines, including computer science, information science, biomedical informatics, and the social and behavioral sciences are welcome. Specializations of particular interest include:

   Novel approaches to the modeling, analysis, and processing of large, heterogeneous and creative sources of data
   Innovative methods, theory, and tools for visualizing information, and for understanding the role of visualization in cognition and problem solving
   Applications of visualization and analytics to important domain-specific and policy-relevant problems

Exceptional applications from other areas related to visualization and analytics will also be considered. This position is a full-time 9-month appointment anticipated at the rank of Assistant Professor commensurate with qualifications and experience. Applicants must have a PhD or equivalent degree by date of appointment. Candidates should demonstrate a strong commitment to bridging research, teaching, service, and practice. 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.

Review of applications will begin immediately and continue until the position is filled. Preference will be given to applications submitted by November 20th, 2013. Selected candidates will be invited for campus visits. The University of Washington is an affirmative action, equal opportunity employer. The University is building a culturally diverse faculty and staff and strongly encourages applications from women, minorities, individuals with disabilities and covered veterans.

Applicants may find further information about the Information School at ischool.uw.edu. Application packages should include: CV, letter of intent including a statement of research and teaching as well as a diversity statement (see below), three letters of recommendation, and 1 to 3 sample publications on which the candidate is the primary author in PDF. These should be sent via email, with “Visualization and Analytics” in the subject line, to:

Dr. Andrew Ko (iApply@uw.edu) Chair, Information Visualization Search Committee UW, Information School Box 352840 Seattle, WA 98195-2840 206-543-3396

Diversity Statement

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: http://ischool.uw.edu/diversity/statement