Open Rank Fixed Term (AssistantAssociateFull) Teaching Professor

Position Summary 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 Schools 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. 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.

Required Experience: IC