Postdoctoral fellow in advanced machine learning to develop models and analytics to support public health response efforts.

The University of Michigan Physics Department and the Michigan Public Health Integrated Center for Outbreak Analytics and Modeling (MICOM) housed in the Department of Epidemiology at the University of Michigan School of Public Health are seeking postdoctoral research fellows with a background in advanced machine learning and data analysis (e.g. as used in high energy physics, data science, or applied mathematics). The Centers for Disease Control are funding the MICOM Center to develop an outbreak response network that uses data to support decision makers during public health emergencies. MICOM Co-Directors, Drs. Marisa Eisenberg and Emily Martin and their colleagues have an active research program to integrate mathematical modeling with community-based surveillance to understand the spread of influenza, SARS-CoV-2, and other infectious diseases.

The successful candidate will work with our team of data and computer scientists, epidemiologists and physicists on multiple ongoing research projects with a computational framework to answer policy, programmatic, and epidemiological questions related to infectious disease transmission. In particular, they are expected to make significant contributions to applying machine learning and data analysis techniques, particularly those in regular use in high energy physics and/or applied mathematics, towards the detection and modeling of infectious diseases.

For general information about this position, please contact Prof. Marisa Eisenberg (marisae@umich.edu) and Prof. Tom Schwarz (schwarzt@umich.edu).

Type
Postdoc
Institution
University of Michigan
City
Ann Arbor
Country
United States
Closing date
October 24th, 2024
Posted on
September 25th, 2024 15:47
Last updated
September 25th, 2024 15:47
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