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Assistant/Associate/Full Professor of Practice

University of Arizona
life insurance, vision insurance, sick time
United States, Arizona, Tucson
Sep 26, 2024
Assistant/Associate/Full Professor of Practice
Posting Number req20699
Department Mathematics
Department Website Link https://www.math.arizona.edu
Medical Sub-Speciality
Location Main Campus
Address Tucson, AZ USA
Position Highlights The Department of Mathematics at The University of Arizona seeks highly qualified and experienced candidates for the position of Assistant/Associate/Full Professor of the Practice in Statistics/Data Science. Highly qualified and experienced candidates may be considered for higher ranks. The primary role of the Assistant/Associate/Full Professor of the Practice is to create an engaging and meaningful learning experience for students in statistics and data science courses ranging from introductory undergraduate through master's degree level. We are looking for individuals who are dedicated to providing high quality instruction and who will bring enthusiasm and expertise to this endeavor. This position offers an excellent opportunity to work with other faculty to contribute to and be part of an innovative teaching and learning environment, and to help develop effective curricula for our Statistics and Data Science degree programs. All positions are in-person at the University of Arizona main campus in Tucson.

This is an academic-year, non-tenure track teaching appointment. After the first academic year, multi-year contracts may be available, pending performance review. (A small portion of the workload assignment may be dedicated to research for candidates who wish to continue a research program.) The Professor of Practice series of titles includes Assistant, Associate, and Full ranks, and there is opportunity for career progression and growth within this career track.

Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; sick leave and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; access to UA recreation and cultural activities; and more!

The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here.

Duties & Responsibilities
  • The primary responsibility is to teach in-person statistics and data science courses across the range of the undergraduate curriculum, as needed by the department. There is also the opportunity to teach classes in the new professional master's program in Statistics and Data Science once that program is underway.
  • Incumbents are expected to participate in various departmental activities, such as tutoring and mentoring programs. Full-time appointments usually require teaching 6-9 credit hours each semester, depending on course demands and departmental needs.
  • After the first year, it is expected that incumbents will serve as a faculty advisor to several DS undergraduate/graduate students.
  • Additional responsibilities include attendance at all appropriate course meetings, faculty meetings, committee meetings, and related professional development sessions.
  • There is a possibility of teaching in the summer for additional compensation, depending on the availability of classes.
Minimum Qualifications
  • PhD in statistics, data science, or closely related field, with a strong background in coursework that aligns with our undergraduate curriculum.
  • Significant experience teaching in a university or college setting.
  • Experience with the content areas of probability, statistical methods, generalized linear models, statistical computing, and machine learning.
  • Experience programming in Python and R.
Preferred Qualifications

  • Experience suited to teach the full range of undergraduate and introductory graduate courses in statistics/data science.
  • Experience with curriculum development at the undergraduate and/or graduate level.
  • Experience teaching undergraduate courses in large format (100+ students).

Rank To be Determined
Tenure Information Career-Track (CT)
FLSA Exempt
Full Time/Part Time Full Time
Number of Hours Worked per Week 40
Job FTE 1.0
Work Calendar Academic
Job Category Faculty
Benefits Eligible Yes - Full Benefits
Rate of Pay DOE
Compensation Type salary at 1.0 full-time equivalency (FTE)
Type of criminal background check required: Name-based criminal background check (non-security sensitive)
Number of Vacancies 1
Target Hire Date 1/6/2025
Expected End Date
Contact Information for Candidates Alejandra Gaona

headoffice@arizona.edu

(520) 621-2868
Open Date 9/26/2024
Open Until Filled Yes
Documents Needed to Apply Curriculum Vitae (CV), Cover Letter, and One Additional Document
Special Instructions to Applicant Applicants should supply the following items:


oLetter of interest

oCV or Resume

oNames of three professional references with contact information as the additional document

Diversity Statement At the University of Arizona, we value our inclusive climate because we know that diversity in experiences and perspectives is vital to advancing innovation, critical thinking, solving complex problems, and creating an inclusive academic community. As a Hispanic-serving institution, we translate these values into action by seeking individuals who have experience and expertise working with diverse students, colleagues, and constituencies. Because we seek a workforce with a wide range of perspectives and experiences, we provide equal employment opportunities to applicants and employees without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or genetic information. As an Employer of National Service, we also welcome alumni of AmeriCorps, Peace Corps, and other national service programs and others who will help us advance our Inclusive Excellence initiative aimed at creating a university that values student, staff and faculty engagement in addressing issues of diversity and inclusiveness.
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