Apply Now Clicking "Apply Now" opens the link in a new window.

How to Apply

Please submit a single PDF document containing (1) cover letter including the names and contact information of three references, (2) curriculum vitae, (3) two representative papers, by email to kingaa@umich.edu and walenina@msu.edu Please use the subject line “POSTDOC APPLICATION”.

Job Summary

The Department of Ecology and Evolutionary Biology in the College of Literature, Science, and the Arts at the University of Michigan is seeking a postdoctoral research fellow for a project focused on building and testing data-driven models of dynamics of pathogen burden, pathology and immune activity in experimental infections. The project is conducted jointly by the King Laboratory at the University of Michigan (kinglab.eeb.lsa.umich.edu) and the Wale Laboratory at Michigan State University (ninawale.com).

Mission Statement

The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.

Responsibilities*

The postdoctoral researcher will build on the PIs’ previous work (Wale et al. PNAS 2019; doi:10.1073/pnas.1908147116), which used a novel modeling approach to quantify the contribution of pathogen and host immune activity to disease and revealed new immune defense strategies against malaria parasites. Specifically, the researcher will exploit rich datasets of high-resolution time-series data to extend existing models so as to increase their predictive power. The researcher will then use these models to design new experiments and analyze the resulting data with the goal of revealing the rules that govern the dynamic deployment of the immune system and, ultimately, infection dynamics.

We seek a highly-motivated, creative scientist driven to discover the principles that underlie the dynamics of infection and immunity.  Applicants should be excited at the prospect of working in an interdisciplinary team of experimental and computational biologists, have exceptional written and oral communication skills, and have a PhD in Systems Biology, Applied Mathematics, Statistics, Computer Science, Computational Ecology & Evolutionary Biology, or a related discipline.

The postdoctoral researcher will be co-advised by Drs. Aaron King (Ecology & Evolutionary Biology, Complex Systems, Data Science, Computational Medicine & Bioinformatics, University of Michigan) and Nina Wale (Microbiology & Molecular Genetics, Integrative Biology, Ecology, Evolution & Behavior, Michigan State University). Dr. King is a leader in the development of powerful computational methods for scientific inference. Dr. Wale exploits model systems in new ways to obtain pioneering insights into the ecological and evolutionary dynamics of infections, including the mouse model of malaria which is the focus of this project. As part of this collaboration, the postdoctoral researcher will have access to a broad range of expertise, resources, and mentoring, in fields from microbiology and immunology to computational biology.

Required Qualifications*

We seek a highly-motivated, creative scientist driven to discover the principles that underlie the dynamics of infection and immunity.  Applicants should be excited at the prospect of working in an interdisciplinary team of experimental and computational biologists, have exceptional written and oral communication skills, and have a PhD in Systems Biology, Applied Mathematics, Statistics, Computer Science, Computational Ecology & Evolutionary Biology, or a related discipline.

Additional Information

This is a one year term-limited position with a possibility of renewal. In general in LSA, Postdoctoral Research Fellow appointments are renewable annually for a maximum of three years. Additional information regarding UM Postdoctoral Research Fellow appointments can be found at rackham.umich.edu/postdoctoral-fellows/.

Background Screening

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks.  Background checks are performed in compliance with the Fair Credit Reporting Act.

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.