Stony Brook University
1 week ago
Postdoctoral Associate in Computational Microbial Ecology, Evolution, and Bioinformatics Stony Brook University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral Associate position with salary range $72,000-$76,000. Employment is subject to sponsor guidelines and availability of funding.
Deadline
Oct 11, 2026
Country
United States
University
Stony Brook University

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About this position
Stony Brook University is advertising a Postdoctoral Associate position in the Institute for Advanced Computational Science and the Department of Ecology and Evolution, working with the mGAMUT Lab on computational microbial ecology and evolution. The role focuses on research involving genomic and metagenomic data, biological data analysis, and potentially new computational, mathematical, or statistical approaches for studying microbial systems.
Strongly relevant backgrounds include computational biology, biology, ecology and evolution, computer science, mathematics, physics, and related quantitative fields. Preferred experience includes programming in R or Python, developing R packages, applying machine learning, working in microbial ecology and evolution, population genetics, and publishing in computational biology, bioinformatics, or theoretical ecology. The post also highlights open science, team science, and inclusive research practices.
Funding details listed in the post include a salary range of $72,000-$76,000. The position is full-time and subject to sponsor guidelines and funding availability.
The posting is located in Stony Brook, New York, United States. The application deadline is 2026-10-11 at 11:59 PM. Applicants should submit a resume/CV and cover letter through the online application portal.
Funding details
Postdoctoral Associate position with salary range $72,000-$76,000. Employment is subject to sponsor guidelines and availability of funding.
What's required
Doctoral degree (or foreign equivalent) in Computational Biology, Biology, Ecology and Evolution, Computer Science, Mathematics, Physics, or a closely related field by the start date. Applicants with non-computational degrees must show coursework and research in quantitative areas; applicants with non-biology degrees must show coursework and research on biological questions. Preferred qualifications include experience analyzing genomic and/or metagenomic data, developing new methods or mathematical/statistical models for biological data, publishing in computational biology/bioinformatics/theoretical ecology, programming in R or Python, commitment to open science and inclusive team science, microbial systems experience, population genetics, R package development, machine learning, and strong scientific writing.
How to apply
Prepare a resume/CV and cover letter and submit them through the online application portal. Use the official Stony Brook application link provided in the posting.
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