Seeking qualified applicants for a NIH funded post-doctoral position with Andrew Kern in the Department of Biology and the Institute of Ecology and Evolution at the University of Oregon. I’m looking for a colleague who will work with me on the development and application of machine learning methods for inferring population genetic parameters from genome-scale datasets. Planned projects will exploit cutting-edge Deep Learning techniques to elucidate the contributions of selection, migration, and demographic history to patterns of genetic variation in humans and mosquitos.

The ideal candidate would hold a Ph.D. and have a record of research achievement in population genetics, evolutionary biology, phylogenetics/phylogeography, computational biology, computer science, statistics, or a related field. Indeed your exact field of research to date is less important to me than your demonstrated record of publication and tenacity. The ideal candidate would have experience programming in python or R (but any scripting language is fine), have experience with cluster computing environments, and have some familiarity with C/C++ (although this is negotiable). No prior experience with machine learning or deep learning is necessary—I will train you. Your job is to bring your enthusiasm and a desire to learn.

More information about the Kern lab can be found here: http://kernlab.org . More information about the Institute for Ecology and Evolution can be found here: https://ie2.uoregon.edu/ . The lab is located on the gorgeous University of Oregon campus. Eugene is wonderful small city with an affordable quality of life, that affords abundant outdoor opportunities in the nearby Cascade mountains and Oregon coast.