How to Apply
Candidates must submit the following materials as one document: cover letter, a CV, and a statement about research experience. Additionally, three (3) letters of recommendation must be submitted to [email protected] directly by the letter writer.
Job Summary
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 ([email protected]) and Prof. Tom Schwarz ([email protected]).
Responsibilities*
- Manuscript preparation: Conceptualizes and contributes to the writing of scientific manuscripts as lead or co-author
- Data analysis: Designs and executes complex data analysis. Independently interprets results, including creation of data tables, visualizations, and reports for presentations.
- Data management: Manages the organization, documentation, merging, cleaning, and storage of complex datasets. Creates final analytic datasets.
- Grant preparation: Assists in acquiring extramural research funding, including with writing the technical portions of grant proposals.
Required Qualifications*
Doctorate degree in public health, epidemiology, computer science, mathematics, and/or physics (or a related field). Applicants must have met all doctoral requirements before the start of the fellowship. Record of accomplishment in research, as evidenced by publications, training, and proficiency in statistical analysis.
Modes of Work
This position allows for hybrid work, with 3-4 days of on-site work required. This position will be under the supervision and guidance of Prof. Marisa Eisenberg (Epidemiology and Complex Systems), Dr. Emily Martin (Epidemiology), Prof. Alex Rodriguez (Computer Science), and Prof. Tom Schwarz (Physics).
Additional Information
This position is term-limited for one year in duration from the start of the appointment, with the possibility of extension contingent on funding and performance.
Michigan Public Health is seeking a dynamic staff member with a commitment to contributing to a diverse,equitable and inclusive environment for all members of our community.
Application Deadline
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.