School of Information, University of Arizona

Position ID: 2104-ASSNTPROF [#12453]
Position Title: Assistant Professor CT, Data Science
Position Type: Non tenure-track faculty
Position Location: Tucson, Arizona 85721, United States [map]
Application Deadline: (posted 2018/09/06, listed until 2019/06/03)
Position Description:    

Job Summary: The School of Information invites applications for a one-year contracted position of Career Track (Non-tenure Eligible) Assistant Professor beginning Fall 2019, teaching a 3-3 load. This position will require both online and face-to-face teaching that includes repeated courses and other strategies meant to manage faculty workload. This position also requires vision and approaches tied to outreach to underrepresented learners as well as strong pedagogical abilities for teaching a diverse set of students. This position provides health insurance, tuition reduction and other benefits. Salary is dependent upon qualifications and experience. Appointment of this NTEAssistant Professor position will be recommended largely on evidence of teaching skills and training, depth of knowledge in a particular specialty, and capacity to undertake high quality teaching and service. This NTE Assistant Professor appointment qualifies for renewal and promotion through a university managed system of promotion for continuing faculty. Renewal of this one-year contract is possible and planned, though not guaranteed to occur, dependent on curricular need, faculty performance, and availability of funding.

• Teaching (60%): Teach online and face-to-face undergraduate courses primarily, though may be assigned graduate courses as needed. Courses taught will include those in data science, Python programming, and data visualization. • Service (40%): Coordinate curriculum between the School of Information and Arizona’s UAOnline programs, Offer workshops to help recruit and retain under-represented learners in the iSchool. Oversee the undergraduate capstone learning projects. Other expected service-related roles will include attending faculty meetings, representing the iSchool on University-wide data science initiatives, supervision of individual student projects, and related activities. • Additional duties may be assigned.

The School of Information is an academic unit in the College of Social and Behavioral Sciences at the University of Arizona, Arizona’s only public land grant university. The School’s mission: “As Arizona’s iSchool, we collaborate across disciplines, drive critical research and development, and educate the information intellectuals and professionals of tomorrow to further positive social change that is rooted in the places where we live and that impacts the world.”

Requirements:

• PhD in Information Science, Computer Science, Sociology, or similar discipline in the social or natural sciences. • Evidence of successful experience teaching data science, Python programming, or data visualization for diverse learning populations • Demonstrated ability to provide service to and advocate for a diverse undergraduate and graduate student population, with particular experience with working with traditionally under-served communities.

Preferred Requirements:

• Familiarity with teaching in on-campus labs and online environments. • Experience or familiarity with faculty service and/or departmental administration. • Demonstrated commitment to preparing undergraduate students for a diverse, multicultural, and interconnected society.

Required Documents:

1. Cover Letter 2. Curriculum Vitae 3. Statement of Teaching Philosophy

The University of Arizona requires you apply directly through the UACareers portal. Please see link below to apply.

http://uacareers.com/postings/29356


This employer is not accepting applications for this position through Mathjobs.Org. Please see the job description above on how to apply.
Contact: Barb Vandervelde, 520-621-3567
Email:
Postal Mail:
The University of Arizona
School of Information
Harvill, Room 409
1103 E. 2nd St.
Tucson, AZ 85721
Web Page: https://ischool.arizona.edu/

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