About this opportunity
Statistics Interest Group lists this Open Rank - Assistant/Associate/Full Professor opportunity in chapel hill, North Carolina. Review the employer’s description below for duties, qualifications and application requirements.
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
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 Additional information about the School of Data and Information Sciences (SDIS) can be obtained at our website at
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.
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Worksite address
chapel hill, NC, 27517, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.