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University of Arizona

Assistant/Associate/Full Professor of Practice

University of Arizona, Tucson, Arizona, United States, 85718


Assistant/Associate/Full Professor of Practice

Posting Number:

req20699Department:

MathematicsDepartment Website Link:

https://www.math.arizona.eduLocation:

Main Campus, Tucson, AZ USAPosition 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. The primary role is to create an engaging learning experience for students in statistics and data science courses ranging from introductory undergraduate to master's degree level. We are looking for individuals dedicated to providing high-quality instruction with enthusiasm and expertise. This position offers an excellent opportunity to work with other faculty to contribute to an innovative teaching environment and to help develop effective curricula for our Statistics and Data Science degree programs. 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.)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 relocation services, please

click here .Duties & Responsibilities

Teach in-person statistics and data science courses across the undergraduate curriculum as needed by the department.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.Serve as a faculty advisor to several DS undergraduate/graduate students after the first year.Attend all appropriate course meetings, faculty meetings, committee meetings, and related professional development sessions.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).Contact Information for Candidates:

Alejandra Gaonaheadoffice@arizona.edu(520) 621-2868Documents Needed to Apply:

Curriculum Vitae (CV), Cover Letter, and One Additional DocumentSpecial Instructions to Applicant:

Applicants should supply the following items:o Letter of interesto CV or Resumeo Names of three professional references with contact information as the additional documentDiversity 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. 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.

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