AI & Data Science Teaching Professor (Open Rank)

UNC-Chapel Hill; North Carolina; On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Comprehensive benefits package

Professional training opportunities

Exclusive campus perks and discounts

Job summary

UNC-Chapel Hill invites applications for Open Rank - Fixed Term - (Assistant/Associate/Full) Teaching Professor in Data Science, focusing on artificial intelligence and its ethical and societal implications. The role emphasizes high-quality undergraduate instruction and expansion of the AI curriculum.

The successful candidate will teach DATA 117, DATA 317, and DATA 110, mentor undergraduates, and collaborate across disciplines to reflect evolving AI methods and responsible data use.

Qualifications

• PhD or equivalent terminal degree in data science, CS, information science, statistics, or a related field.
• Experience teaching at college/university level in data science or AI.
• Ability to advise and mentor undergraduate students and collaborate across disciplines.

Responsibilities

• Teach undergraduate data science and AI courses such as DATA 117, DATA 317, and DATA 110.
• Develop innovative AI courses and learning experiences for the SDIS curriculum.
• Collaborate across disciplines to reflect evolving AI methods and ethical considerations.

Skills

Data science

AI concepts

Undergraduate teaching

Mentoring

Interdisciplinary collaboration

Education

PhD or terminal degree in data science or related field

Tools

Python

R

SQL

AI tooling (TensorFlow/PyTorch)

Job description

UNC-Chapel Hill invites applications for Open Rank - Fixed Term - (Assistant/Associate/Full) Teaching Professor in Data Science, focusing on artificial intelligence and its ethical and societal implications. The role emphasizes high-quality undergraduate instruction and expansion of the AI curriculum.

The successful candidate will teach DATA 117, DATA 317, and DATA 110, mentor undergraduates, and collaborate across disciplines to reflect evolving AI methods and responsible data use.