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Open Rank Tenure-Track/Tenured Position, University of Oklahoma, Norman, OK

Posted January 14, 2019

The School of Library and Information Studies at the University of Oklahoma invites applications for an open rank tenure-track or tenured position with a focus on Applied Technology and/or Data Science. We are seeking candidates with expertise in one or more of the following areas: Data Analytics, Cybersecurity, Mobile App Development, Text Mining, Information Retrieval, Data Ethics, or User Experience Design. The ideal candidate must demonstrate the ability to teach one or more of the required courses for the bachelor’s or master’s programs in online and in person environments.

The successful applicant for this position will join the OU SLIS faculty in the education of undergraduate, master’s and doctoral students in various capacities including teaching courses, supervising independent courses, advising, and serving on students’ committees. The teaching responsibilities include two courses per semester. The faculty member will conduct scholarly research resulting in publications in peer reviewed journals, book chapters, edited books, books, and conference papers. Seeking opportunities for internal and external funding is also expected. Additionally, the candidate will be committed to engagement in service to the profession and in the shared governance within the university.

The position is based on the Norman campus and will begin August 16, 2019. The salary is competitive and is commensurate with qualifications and experience. The University of Oklahoma offers an excellent benefits program. For further benefits information please access the Human Resources website at http://hr.ou.edu/.

 

SUPPLEMENTAL INFORMATION

The School of Library and Information Studies at the University of Oklahoma was established in 1929 and is situated within the College of Arts and Sciences. It has recently become an affiliate member of the iSchool consortium. The School has faculty in residence at both the Norman and Tulsa campuses, and faculty teach students at both locations, and online students in a variety of locations. The School has long-standing MLIS and bachelor’s programs, along with a new Ph.D. in Information Studies and several new graduate certificate programs. The University of Oklahoma (OU) is a Carnegie R1 comprehensive public research university known for excellence in research, teaching, and community engagement. It serves the educational, cultural, economic, and health-care needs of the state, region, and nation from three campuses: Norman, the Health Sciences Center in Oklahoma City, and the Schusterman Center in Tulsa. OU enrolls over 30,000 students and has more than 2,700 full-time faculty members in 21 colleges. The 277-acre Research Campus in Norman was named the No. I research campus in the nation by the Association of Research Parks in 2013. The University of Oklahoma’s beautiful, bustling campus is nestled in the heart of Norman, the state’s third largest city, located just south of Oklahoma City. Norman combines the charm of a college town, the sophistication of a cosmopolitan city and the history and culture of the American West. With outstanding schools, amenities, and a low cost of living, Norman is a perennial contender on the “Best Places to Live” rankings. With a cost of living close to 15 percent less than the national average, Norman is a very affordable city. In fall 2014, Time ranked Norman the “least expensive city to raise children.” For more information visit: http://soonerway.ou.edu and http://www.ou.edu/flipbook.

Qualifications

Research

Successful candidates will:

  • Have a record of research and scholarship with current publications and a passion for developing innovative and cross-cutting research, publishing, participating in scholarly conferences, and pursuing external grant funding
  • Work collaboratively with internal and external faculty on cross-disciplinary projects
  • Show impact through external and internal grant funding, scholarly recognition through expected channels such as citations by other researchers as measured by bibliometrics/altmetrics, invited lectures and presentations, and through awards (best conference paper, association awards, etc.)

Teaching and Service

Successful candidates will be able to:

  • Teach required and elective Information Science, Data Science, and Technology (IS/DS/Tech) courses for the SLIS undergraduate and graduate programs
  • Develop new IS/DS/Tech courses to expand and strengthen the undergraduate and graduate programs
  • Help guide the continual improvement of current degree programs
  • Advise master’s and Ph.D. students
  • Serve on department, college, and university committees
  • Be actively involved in local, national, and international scholarly/professional information and data science organizations
  • Pursue community engagement opportunities such as interacting with local industry/employers on service learning projects for students, internship placements, and promoting our students and graduates
  • Have interest and experience in the design and delivery of courses in a variety of formats including on-campus, interactive video, online, and blended.

 

EXPERIENCE/QUALIFICATIONS/KNOWLEDGE/SKILLS

Required Qualifications

  • A doctorate in information studies, computer science, informatics, or a related field is required at the time of appointment
  • An active and productive research program
  • Experience with technology and/or data science tools and methods

Preferred Qualifications

  • Knowledge and skills in applied technology, information science, and/or data science tools and methods
  • Evidence of excellence in teaching that engages students in hands-on skill development
  • A sustained research program and a record of top-tier, peer-reviewed, or other high-impact scholarly publication
  • Experience with collaborative, cross-disciplinary research and a record of external funding
  • Leadership in research, instruction, and/or service

Application Instructions

Applications should be submitted online via ByCommittee (https://apply.interfolio.com/58616) and should include a letter of application, a statement of research interests, curriculum vitae, and three letters of reference. Screening of applicants will begin immediately. Applications will be considered until the position is filled.

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