Teaching Professor in Data Science

intelligence while contributing to the continued development and expansion of the School’s data science and AI curriculum.

The successful candidate will teach courses such as DATA 117, DATA 317, and DATA 110 and will have opportunities to develop and teach new courses and learning experiences in AI and related areas. The position will contribute to the School’s ongoing expansion of data science and AI education by identifying emerging topics and instructional needs, developing innovative and accessible courses, and supporting curricular initiatives, including the AI minor launched in Fall 2026.

The successful candidate will collaborate across disciplines to ensure that course offerings reflect evolving AI methods, technologies, applications, ethical considerations, and societal implications.

We especially seek candidates with expertise or experience in:

• Understanding how AI systems operate, including supervised learning, unsupervised learning, reinforcement learning, generative AI, and related approaches.
• Ethical, legal, and societal considerations in data science and artificial intelligence, including data privacy, regulation, responsible AI, and responsible data use.
• Making AI accessible to students with diverse technical backgrounds through engaging and inclusive undergraduate teaching.
• Creating hands-on learning experiences that apply AI to research, writing, data analysis, creative work, coding, and other academic and professional activities.
• Teaching introductory data science or AI courses, particularly courses serving undergraduate and first-year students.
• Advising and mentoring a growing undergraduate student population.

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 data science, computer science, information science, statistics, a social science, humanities discipline, or another substantive field relevant to the mission and academic programs of the Division of Data Science and Society.

Preferred Qualifications, Competencies, and Experience

• Demonstrated experience teaching at the college or university level, with experience in data science, artificial intelligence, or a related field.
• Knowledge of artificial intelligence and machine learning concepts, including supervised learning, unsupervised learning, reinforcement learning, generative AI, and related methods.
• Experience applying AI tools to research, writing, data analysis, creative work, coding, or other academic and professional contexts.
• Demonstrated ability to advise and mentor undergraduate students.
• Ability to collaborate effectively with faculty and colleagues across disciplines in an interdisciplinary academic environment.

Visit https://unc.peopleadmin.com/postings/326667 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.