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

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 invites applications for 9- or 12-month, fixed-term, open-rank (Assistant/Associate/Full) Teaching Professor position in Data Science, with a focus on foundational computational tools, computational thinking, and introductory data science concepts. Sample courses include DATA 110, DATA 140, and DATA 215, with opportunities to develop and teach additional courses in these areas. 

We seek candidates with expertise or experience in: 

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

The successful candidate will 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. The candidate will 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. 

The standard instructional assignment is three courses per semester for 9-month appointments (six courses annually) and four courses per semester for 12-month appointments (eight courses annually). 

This is a permanent fixed-term faculty position with an initial three-year appointment, subject to reappointment, and a pathway for advancement in rank. 

Minimum Education and Experience Requirements 

• A PhD or equivalent terminal degree in any substantive field relevant to the mission, vision, and values of the Division of Data Science and Society (DSS). 
• Demonstrated experience teaching at the college or university level in data science, computational methods, programming, statistics, or a related field. 
• Candidates must be able to articulate their methodological expertise and its relevance to the domains of data science. 

Preferred Qualifications, Competencies, and Experience 

• 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. 

Visit to apply. All faculty candidates must apply online and submit a cover letter and CV/resume. Applicants must also submit a one- to two-page statement of teaching philosophy as the “Other Document” in the list of required application materials. 

Required Application Question: 
Please describe relevant courses you have taught and identify potential courses you would be prepared to teach at SDIS. In your response, please indicate whether you have experience teaching large, multi-section university courses with enrollments of 50 or more students 

Please arrange for three reference letter writers to submit letters where indicated. They will receive an email with instructions for submitting letters of recommendation. Please ensure that at least one of the three letters addresses your teaching experience and qualifications 

For full consideration, applications should be received by Monday, November 16, 2026. Anticipated starting date is July 1, 2027. 

The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, race, national origin, religion, sex, sexual orientation, or status as a protected veteran.