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. Finally, candidates should be interested in developing innovative approaches to data science curriculum.
Candidates will typically have an advanced degree (Masters or PhD) from fields such as Statistics, Computer Science and Engineering, Complex Systems, Information Science, Applied Mathematics, or related STEM fields. The disciplinary academic background is less important than a deep knowledge of data science and having a strong desire and ability to teach. PhDs with teaching experience are preferred but we encourage candidates with industry experience to apply.
Lecturers are an integral part of the faculty of the iSchool with full voting privileges and are highly valued, with mentorship opportunities provided. This is a full-time appointment in which candidates typically teach for 9 months per year (excluding summer) although opportunities for summer teaching may be available. This is a non-tenure track appointment anticipated at the rank of Lecturer Full-time (job class code 0179) or Senior Lecturer Full-time (job class 0117). Applicants must have a master's (or equivalent) by date of appointment. Prior teaching experience and a Ph.D. are preferred. 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 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.
The UW Information School highly values candidates with a broad interest in technology and the human condition. Candidates who have demonstrated an interest in how information can contribute to making a positive social impact are especially desirable. We are dedicated to hiring faculty that will enhance diversity, equity, and access in higher education through their 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.
Preference will be given to applications submitted by November 15th, 2016 and review will continue until the position is filled. Selected candidates will be invited for campus visits. University of Washington is an affirmative action and equal opportunity employer.
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 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:
Applicants may find further information about the Information School at ischool.uw.edu. Application packages should include: CV or resume, a letter of intent, statement of teaching philosophy (1-2 pages) related to data science curriculum and pedagogy, as well as a diversity statement (see below), and the names and contact information for three references.
Application materials should be sent via email, with Data Science in the subject line, to:
Jessica Hullman, Jevin West and Bill Howe (iApply@uw.edu)
Co-Chairs, Data Science Search Committee
UW, Information School
Seattle, WA 98195-4985
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.