Open Rank - Assistant/Associate/Full Professor

Statistics Interest Group; Chapel Hill, Northern (NC, KY); Hybrid; USD 120,000 - 190,000; Full time

Job summary

UNC-Chapel Hill School of Data and Information Sciences is recruiting open-rank faculty (Assistant/Associate/Full Professor) to advance data science research and education across foundations, societal impact, and applications. The position emphasizes collaboration across disciplines, with a focus on AI/ML, data science, and interdisciplinary syllabi.

The Division of Data Science and Society invites applicants who can contribute to research pillars in data, algorithms and models, applications,

Qualifications

• Ph.D. or MD with expertise in AI/ML, computational social sciences, data science, computer science, statistics, applied mathematics, or a related field applying AI and data science techniques.
• Record of or potential for external funding to support research projects is preferred.
• Strong interdisciplinary collaboration and teaching experience at undergraduate and graduate levels are desirable.

Responsibilities

• Pursue interdisciplinary, foundational research and applications across data science pillars.
• Collaborate with faculty, students, and external partners to translate research into societal impact.
• Engage in teaching, supervision, and development of courses at undergraduate and graduate levels.

Skills

AI/ML

Computational social sciences

Data science

Computer science

Statistics

Applied mathematics

Education

Ph.D.

MD

Job description

UNC-Chapel Hill School of Data and Information Sciences – Open Rank – Assistant/Associate/Full Professor

Company Name UNC-Chapel Hill School of Data and Information Sciences

Position Title Open Rank - Assistant/Associate/Full Professor

Company Information

The Division of Data Science and Society (DSS) at UNC-Chapel Hill's School of Data and Information Sciences (SDIS) is excited to announce the fifth year of a strategic open-rank tenure-track faculty hiring initiative. This initiative aims to enhance research and innovation in the rapidly evolving field of data science. We are looking for strong contributors to the areas of data science foundations, the societal impact of data science, and applications in the medical, social, physical, biological, and environmental sciences. This initiative seeks to attract exceptional as many as three researchers working within or across the following DSS research pillars:

Data: Techniques for collecting, storing, disseminating, and translating data into actionable insights.

Algorithms and Models: Mathematical, computational and statistical tools that empower researchers and stakeholders to discover, create, analyze, present, synthesize, and utilize data.

Applications: Innovative and effective uses of data and models to advance interdisciplinary knowledge and address pressing social issues.

Social Impact: Examination of unintended consequences and ethical questions arising from using data to tackle society's most pressing challenges.

Duties and Responsibilities

UNC-Chapel Hill's interdisciplinary approach to data science research will foster the development of innovative foundational research and applications across various fields. Through collaboration among faculty, students, and external partners, the Division of Data Science and Society in SDIS aims to bridge the gap between academia, industry, and community groups, translating research discoveries into tangible societal benefits. We invite you to join the DSS faculty and be part of this mission.

Preferred applicants will have a strong research record, evidence of interest in developing, teaching, and supervising courses at the undergraduate and graduate levels, and an aptitude in working collaboratively in interdisciplinary research. Research with a focus on data science and its applications in addressing societal challenges is preferred. Additionally, candidates must be able to engage with researchers, professionals, and stakeholders from diverse disciplines. A record of or the potential to secure external funding to support research projects is strongly preferred.

Position Qualifications

The applicants must have a Ph.D. and/or MD with expertise in artificial intelligence/machine learning, computational social sciences, data science, computer science, statistics, applied mathematics, or a related field that applies AI and data science techniques.

Salary Range This position is at will, tenure-track. Salary commensurate with education and experience.

Please visit https://hr.unc.edu/benefits/

For full consideration, applications should be received by Monday, November 15, 2026. Anticipated start date is July 1, 2027.

For additional information about this position, please contact us at [e-mail]. Additional information about the School of Data and Information Sciences (SDIS) can be obtained at our website at https://sdis.unc.edu/.

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.