Open Rank Fixed-Term Teaching Professor in Data Science
Join UNC-Chapel Hill as a teaching professor in data science, focusing on introductory computational tools and ethics.
Best for:Best for experienced educators with a PhD in data science, computer science, or related fields seeking an undergraduate teaching-focused faculty role.
Overview
The Division of Data Science and Society within the School of Data and Information Sciences at the University of North Carolina at Chapel Hill invites applications for fixed-term, open-rank teaching professor positions. Successful candidates will deliver undergraduate instruction across 9- or 12-month appointments, covering foundational data science, computational thinking, communication, and ethics. Responsibilities include teaching introductory courses, mentoring students, developing innovative curricula, and collaborating across disciplines to support emerging programs like the AI minor. The appointment offers a permanent fixed-term structure with an initial three-year term and clear pathways for professional advancement.
What you'll do
- Teach undergraduate courses in foundational data science, programming, computational tools, and data ethics across 9- or 12-month appointment schedules.
- Develop new instructional materials, learning activities, and courses aligned with evolving data science and AI curricula.
- Advise, mentor, and support undergraduate students in their academic progress and professional development.
- Collaborate with faculty and colleagues across diverse disciplines to promote interdisciplinary data science education.
- Participate in the growth and governance of undergraduate programs, including introductory courses and specialized minors.
Requirements
Degree required: PhD or equivalent terminal degree in data science, information science, computer science, statistics, social science, humanities, or a relevant substantive field.
Language: English proficiency suitable for university-level instruction.
Instruction: English
- Demonstrated experience teaching data science, computational methods, programming, or statistics at the university level.
- Ability to clearly articulate methodological expertise and connect it to data science domains.
- Experience engaging undergraduate students in introductory or foundational courses.
- Capacity to design and deliver student-centered instructional materials and learning experiences.
- Must hold a PhD or equivalent terminal degree by the start of the appointment.
Funding & terms
How to apply
Deadline: 2026-11-15
Applicants must apply online via the university's job portal by submitting a cover letter, CV or resume, and a teaching statement as the required other document. Candidates must also respond to the required application questions regarding course history and teaching scale. Additionally, applicants must arrange for three professional references to submit letters of recommendation.
- CV
- Cover letter
- Teaching statement
- 3 reference letters
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