
Open Rank - Fixed Term - (Assistant/Associate/Full) Teaching Professor
University of North Carolina- Chapel Hill
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Job overview
The University of North Carolina at Chapel Hill’s Division of Data Science and Society seeks an open-rank, fixed-term Teaching Professor in Data Science focused on artificial intelligence and its ethical, practical, and societal applications. The professor will provide undergraduate instruction, contribute to curriculum development and expansion, and collaborate across disciplines. Appointments are 9 or 12 months, with an initial three-year term subject to reappointment and a pathway for advancement in rank.
Skills & qualifications
Skills
Full job description
Employment Type: Permanent Faculty
Vacancy ID: FAC0006155
Salary Range: Commensurate with Education and Experience
Position Summary/Description:
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 in Data Science, with a focus on artificial intelligence, including the ethical, practical, and societal applications of AI tools. The position is to provide high-quality undergraduate instruction in data science and artificial 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:
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Understanding how AI systems operate, including supervised learning, unsupervised learning, reinforcement learning, generative AI, and related approaches.
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Ethical, legal, and societal considerations in data science and artificial intelligence, including data privacy, regulation, responsible AI, and responsible data use.
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Making AI accessible to students with diverse technical backgrounds through engaging and inclusive undergraduate teaching.
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Creating hands-on learning experiences that apply AI to research, writing, data analysis, creative work, coding, and other academic and professional activities.
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Teaching introductory data science or AI courses, particularly courses serving undergraduate and first-year students.
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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.
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