Open Rank AssistantAssociateFull Professor

Position Summary
The Division of Data Science and Society ( DSS ) at UNC -Chapel Hills 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 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 societys most pressing challenges. UNC -Chapel Hills 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 Qualifications Competencies And Experience
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.