Open Rank - Assistant/Associate/Full Professor

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 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. 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.