Postdoctoral Researcher in Evolutionary Genomics, Population Genetics, and Machine Learning
Postdoctoral Researcher
at
Montana State University
(Department of Ecology, College of Letters & Science) in
Bozeman, Montana, United States
.
This postdoctoral opening is part of
NSF-funded research
on
speciation
under alternating cycles of gene flow and isolation. The project sits at the intersection of
evolutionary genomics
,
population genetics
,
bioinformatics
,
computational biology
, and
machine learning
. The successful candidate will work with PI
Ethan Linck
and external collaborators to develop an open-source software tool for inferring more realistic speciation scenarios from genomic data, run simulations, validate theoretical predictions, and contribute to publications.
The role includes independent and collaborative research, software dissemination, manuscript preparation, conference presentations, and community adoption of the tool. The position is research-focused and is described as a postdoctoral research scholar/research professional appointment.
Eligibility highlights:
Ph.D. in Evolutionary Biology, Genetics, Bioinformatics, Computational Biology, or a closely related field by the start date; experience with scientific programming and computational data analysis; demonstrated research productivity. Preferred experience includes machine learning in biology/genomics, population genetics theory and simulation methods, and open-source software development.
Funding:
NSF-funded; funding is currently anticipated for two years and through December 31, 2028. Salary is listed at
$55,000–$60,000 annually
, with benefits eligible.
Application:
Upload a CV and a cover letter addressing the required and preferred qualifications. Applications are screened beginning
2026-10-30
and will continue until an adequate applicant pool is established.
