Job Information
University of North Carolina- Chapel Hill Assistant Professor of Sociology and Data Science in NC-Chapel-Hill, United States
Employment Type: Permanent Faculty
Vacancy ID: FAC0004818
Position Summary/Description:
The Department of Sociology and the School of Data Science and Society ( SDSS ) at the University of North Carolina at Chapel Hill invite applications for a primary tenure-track appointment as Assistant Professor in Sociology in the College of Arts and Science with a full joint appointment in the School of Data Science and Society. Candidates should exhibit a record of strong and innovative research and excellence in teaching. We welcome applications from candidates whose work aligns with the mission of the SDSS and the Department of Sociology values as outlined on our websites. Candidates must possess a Ph.D. in Sociology or a related field.
Education and Experience:
We prefer candidates with expertise in health, data science, and computational methods who can teach courses in our undergraduate data science majors (BA & BS). Candidates must have a strong research agenda combining data science and computational methods to sociological fields. Areas of particular interest include, but are not limited to: * Data: Methods of collection, storage, dissemination, and translation of data into actionable information * Algorithms and Models: Computational and statistical tools to enable researchers and stakeholders to discover, create, analyze, present, synthesize, and consume data * Applications: Sound and creative deployments of both data and models to advance interdisciplinary health science, as well as offer solutions to pressing health problems. * Social Scientific Study of Health: Advance the study of population health and/or health disparities in the United States or internationally.
AA/EEO Statement:
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, national origin, race, religion, sex, sexual orientation, or status as a protected veteran.