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

SIAM Activity Group; Chapel Hill (NC); On-site; USD 90,000 - 120,000; Full time

Job summary

University of North Carolina at Chapel Hill invites applications for a 9- or 12-month open-rank Teaching Professor in Data Science with a focus on foundational computational tools, computational thinking, and introductory data science concepts. Responsibilities include teaching DATA 110, DATA 140, DATA 215 and developing additional courses to strengthen the undergraduate curriculum.

Ideal applicants have PhD or equivalent terminal degree and demonstrable experience teaching undergraduates, plus

Qualifications

• PhD or terminal degree in a field relevant to the Division of Data Science and Society.
• Experience teaching at the college/university level in data science or related fields.
• Ability to articulate methodological expertise and its relevance to data science.

Responsibilities

• Teach foundational data science courses (e.g., DATA 110, DATA 140, DATA 215).
• Develop and teach additional courses in foundational data science areas.
• Advise and mentor undergraduate students and participate in curriculum development.

Skills

Foundational programming concepts

Computational thinking

Undergraduate teaching

Data structures

Education

PhD or equivalent terminal degree

Job 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 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.

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.