Open Rank - Fixed Term - (Assistant/Associate/Full) Teaching Professor

UNC-Chapel Hill • Chapel Hill, NC

26d • Onsite

About The Position

The Division of Data Science and Society (DSS) in the School of Data and Information Sciences (SDIS) at the University of North Carolina at Chapel Hill is seeking applications for a fixed-term, open-rank Teaching Professor position in Data Science. This role focuses on foundational computational tools, computational thinking, and introductory data science concepts. The position involves teaching undergraduate students, developing new courses, and contributing to the curriculum. The standard teaching load is six courses annually for 9-month appointments and eight courses annually for 12-month appointments. This is a permanent fixed-term faculty position with an initial three-year appointment, subject to reappointment, and offers a pathway for advancement in rank.

Requirements

• Expertise or experience in teaching foundational computational tools, programming concepts, and computational thinking.
• Expertise or experience in data structures and introductory data science methods.
• Expertise or experience in teaching and engaging undergraduate students, particularly in first-year and foundational courses.
• Expertise or experience in teaching college-level introductory courses in data science, programming, computational methods, or related fields.
• Expertise or experience in advising and mentoring a growing undergraduate student population.

Nice To Haves

• Teaching introductory data science, computational methods, programming, or related courses at the undergraduate level.
• Ability to explain computational concepts clearly to students from diverse disciplinary backgrounds.
• Experience developing or contributing to undergraduate data science curricula and courses.
• Ability to apply disciplinary or methodological expertise to data science questions and problems.
• Advising and mentoring undergraduate students.
• Ability to collaborate across disciplines in an interdisciplinary academic environment.

Responsibilities

• Teach foundational computational tools, programming concepts, and computational thinking.
• Teach data structures and introductory data science methods.
• Teach and engage undergraduate students, particularly in first-year and foundational courses.
• Teach college-level introductory courses in data science, programming, computational methods, or related fields.
• Advise and mentor a growing undergraduate student population.
• Contribute to the continued development of the School’s undergraduate data science curriculum by identifying emerging instructional needs, developing new courses and learning experiences, and incorporating effective computational tools and teaching practices.
• Collaborate across disciplines to ensure that foundational courses provide students with the computational knowledge, skills, and conceptual understanding needed for success in advanced data science coursework.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed