Description
Mississippi State University is seeking an NSF-funded postdoctoral researcher in the Department of Biological Sciences to develop and optimize popai, a Python package for population genetic inference using machine learning, and to apply these methods to empirical systems. The role also involves implementing high-performance computing pipelines, mentoring students, and contributing to manuscripts, documentation, and workshops. Applicants need a related PhD and a record of scholarly publication; experience in population genetics or phylogenetics is preferred. Applications are reviewed on a rolling basis, with an anticipated start date of October 1, 2026 or thereafter, and the position is contingent on continued funding availability.
