About The Position

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 is seeking applications for a fixed-term, open-rank Teaching Professor in Data Science, with a specialization in artificial intelligence. This position focuses on providing high-quality undergraduate instruction in data science and AI, including their ethical, practical, and societal applications. The role involves teaching existing courses, developing new courses and learning experiences in AI, and contributing to the expansion of data science and AI education. The successful candidate will collaborate across disciplines to ensure course offerings are current with evolving AI methods, technologies, applications, ethical considerations, and societal implications. This is a permanent fixed-term faculty position with an initial three-year appointment, subject to reappointment, and offers a pathway for advancement in rank.

Requirements

  • Expertise or experience in understanding how AI systems operate, including supervised learning, unsupervised learning, reinforcement learning, generative AI, and related approaches.
  • Expertise or experience in ethical, legal, and societal considerations in data science and artificial intelligence, including data privacy, regulation, responsible AI, and responsible data use.
  • Demonstrated ability to make AI accessible to students with diverse technical backgrounds through engaging and inclusive undergraduate teaching.
  • Demonstrated ability to create hands-on learning experiences that apply AI to research, writing, data analysis, creative work, coding, and other academic and professional activities.
  • Experience teaching introductory data science or AI courses, particularly courses serving undergraduate and first-year students.
  • Demonstrated ability to advise and mentor undergraduate students.
  • Ability to collaborate effectively with faculty and colleagues across disciplines in an interdisciplinary academic environment.

Nice To Haves

  • 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.

Responsibilities

  • Provide high-quality undergraduate instruction in data science and artificial intelligence.
  • Teach courses such as DATA 117, DATA 317, and DATA 110.
  • Develop and teach new courses and learning experiences in AI and related areas.
  • Identify emerging topics and instructional needs in data science and AI.
  • Develop innovative and accessible courses.
  • Support curricular initiatives, including the AI minor.
  • Collaborate across disciplines to ensure course offerings reflect evolving AI methods, technologies, applications, ethical considerations, and societal implications.
  • Advise and mentor a growing undergraduate student population.
  • Teach six courses annually for 9-month appointments or eight courses annually for 12-month appointments.
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