Full) Teaching Professor

UNC-Chapel Hill•Chapel Hill, NC

26d

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 in Data Science. This position will focus on communication for data scientists and data science ethics. The successful candidate will teach undergraduate courses, including DATA 120 and DATA 150, and will have the opportunity to develop new courses. Expertise is sought in effective communication of data findings, ethical, legal, and societal dimensions of data science, teaching undergraduate students, teaching foundational data science courses, and advising/mentoring students. The role involves contributing to the development of the undergraduate data science curriculum, identifying emerging topics, developing new courses, and supporting initiatives like the AI minor. Collaboration across disciplines is expected to advance innovative educational approaches and ensure course offerings reflect evolving methods, technologies, ethics, and applications in data science. 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 position with an initial three-year appointment, subject to reappointment, and offers a pathway for promotion.

Requirements

Expertise and experience in effective communication of data and analytical findings, including data visualization, public speaking, stakeholder engagement, and translating technical concepts for diverse audiences.
Expertise and experience in ethical, legal, and societal dimensions of data science, including data privacy, data regulation, artificial intelligence, responsible data use, and related emerging issues.
Expertise and experience in teaching and engaging undergraduate students, particularly students in introductory and first-year courses.
Expertise and experience in teaching college-level courses addressing the foundations of data science.
Expertise and experience in advising and mentoring undergraduate students and supporting their academic and professional development.
Ability to contribute to the continued development of the School’s undergraduate data science curriculum by identifying emerging topics and instructional needs.
Ability to develop new courses and learning experiences.
Ability to support curricular initiatives, including the AI minor launched in Fall 2026.
Ability to collaborate with faculty and colleagues across disciplines to advance innovative, interdisciplinary approaches to data science education.
Ability to ensure that course offerings reflect evolving methods, technologies, ethical considerations, and applications of data science.

Nice To Haves

Teaching introductory data science courses, particularly courses designed for undergraduate or first-year students.
Applying discipline or methodological expertise to data science questions and problems.
Developing innovative, interdisciplinary, and student-centered instructional materials and learning activities.
Advising, mentoring, and supporting undergraduate students in academic and professional development.
Developing new courses or curricula that contribute to the undergraduate data science program.
Collaborating across disciplines and working effectively with faculty, staff, and students in an interdisciplinary academic environment.

Responsibilities

Contribute to undergraduate instruction through courses such as DATA 120 and DATA 150.
Develop and teach new courses aligned with the evolving needs of the data science curriculum.
Teach college-level courses addressing the foundations of data science.
Advise and mentor undergraduate students and support their academic and professional development.
Contribute to the continued development of the School’s undergraduate data science curriculum by identifying emerging topics and instructional needs.
Develop new courses and learning experiences.
Support curricular initiatives, including the AI minor launched in Fall 2026.
Collaborate with faculty and colleagues across disciplines to advance innovative, interdisciplinary approaches to data science education.
Ensure that course offerings reflect evolving methods, technologies, ethical considerations, and applications of data science.
Teach three courses per semester for 9-month appointments (six courses annually).
Teach four courses per semester for 12-month appointments (eight courses annually).