Develop predictive and analytic models of infectious disease using dynamic models and machine learning/artificial intelligence algorithms

The Department of Epidemiology is one of the seven departments in the Gillings School of Global Public Health. The department’s primary focus is the development and application of research methods to understand the patterns and causes of health and disease, and the application of that knowledge to improving the health of populations. We provide strong training in research methods and opportunities for the application of epidemiology to a wide range of health problems through our research. The achievements of our faculty, staff, students, and alumni have enabled us to become one of the leading academic departments of epidemiology in the world. The department has 30 Tenured-Tenure Track / 7 Joint Tenure-Track Faculty, 25 Fixed Term / 3 Joint Fixed Term Faculty, 120 Adjuncts, 19 EHRA Non-Faculty, 15 Postdocs, 34 SHRA (Staff), 44 SHRA Temporary and 202 Students. The department’s operating budget is 27 million a year.

Successful candidates will join the newly formed Atlantic Coast Center for Infectious Disease Dynamics and Analytics (ACCIDDA) on a project aimed at developing software and analytic tools to perform disease modeling and critical analytics in response to infectious disease outbreaks. ACCIDDA is part of the newly formed CDC-funded national network of centers of excellence for Outbreak Analytics and Disease Modeling (OADM), named Insight Net. This position’s efforts will focus on developing predictive and analytic models of infectious disease and will use dynamic models and machine learning/artificial intelligence algorithms. This position will collaborate with a network of scientists and public health practitioners to develop solutions to problems that have direct impacts on population health. Work with this center will provide numerous opportunities to work with other Insight Net centers and public health partners, as well as have a direct impact on the work of the CDC Center for Forecasting and Outbreak Analytics (CFA).

The University of North Carolina at Chapel Hill
Chapel Hill
United States
Closing date
March 14th, 2024
Posted on
December 14th, 2023 21:16
Last updated
December 14th, 2023 21:16