Job Summary
The Bradburd lab in the Department of Ecology and Evolutionary Biology at the University of Michigan is seeking applicants for an NIH-funded postdoctoral position. The lab focuses on the geography of evolution and the development of statistical methods for spatial population genetics and genomics.
Research Fellow at Bradburd Lab, University of Michigan
Designation
Position Title: Research Fellow
Job Opening ID: 278232
Department: LSA Ecology & Evolutionary Biology
Employment Type: Full-Time, Regular
FLSA Status: Exempt
Research Area
- Spatial Population Genetics/Genomics
- Ancestral Recombination Graphs (ARGs)
- Statistical and Computational Approaches to Evolution
Location
Work Location: Ann Arbor Campus, Ann Arbor, MI
Work Mode: Onsite
Eligibility/Qualification
- Educational Requirement: Ph.D. in a biology discipline.
- Relevant Background: Training in evolutionary genetics, phylogeography, landscape genetics, computational biology, statistics, applied mathematics, population modeling, evolutionary or ecological theory, computer science, etc.
Job Description
The focus of this postdoc will be on the application of Ancestral Recombination Graphs (ARGs) for spatial population genetic inference. The position emphasizes a combination of computational and statistical approaches with strong emphasis on simulation and empirical data analysis.
How to Apply
Interested candidates should submit a PDF of their CV along with a cover letter that describes their qualifications and relevant experience. Applications should be sent to Gideon Bradburd at bradburd@umich.edu.
Last Date to Apply
Application Deadline: Review of applications will begin immediately and continue until the position is filled. Job postings will remain for a minimum of seven calendar days; the review process may start as early as the eighth day after posting.
Please note that the ideal start date is Fall 2026, but this can be flexible for the right candidate. Applications from candidates who are passionate about diversity, equity, and inclusion in STEM are strongly encouraged.
