Postdoc: UCLA.PopulationGenetics/Microbiome A postdoctoral research position is available in the lab of Dr. Nandita Garud in the Department of Ecology and Evolutionary Biology at the University of California, Los Angeles. We are broadly interested in understanding the evolutionary dynamics of natural populations. A considerable focus is on microbiomes, however, we also work with other systems, including Drosophila and ancient human DNA. The lab develops statistical and computational methods to gain insight into evolutionary processes from population genomic data. The successful candidate will have substantial input in the specific nature of their research project. However, the project should broadly fit within the lab's goals of learning about evolution in natural populations. Applicants with an interest in machine learning are also encouraged to apply. Additional information can be found at: http://garud.eeb.ucla.edu The Ecology and Evolutionary Biology department at UCLA offers a cutting-edge research environment with many opportunities for collaboration. The lab will have affiliations with the Microbiome Center at UCLA and the Institute for Quantitative and Computational Biology at UCLA. Candidates should have a Ph.D. in biology, genetics, computer science, bioinformatics, statistics, computational biology, or a related field. A background in population genetics/evolutionary genomics is preferred. As this is a computational position, proficiency in programming in R, Perl, or Python, and shell scripting is essential. Preference will be given to candidates with a strong publication record, evidence of substantial research productivity, and ability to successfully communicate scientific information. Review of applications will begin immediately and will continue until the position is filled. Interested candidates should send to Nandita Garud atngarud@ucla.eduthe following: - A letter describing your background and motivations pursuing a postdoc in the Garud Lab - CV that includes a brief 1-2 sentence description of your contribution to past research projects. - Contact information for two referees who can provide references upon request - A description of your programming background. - A description of your evolutionary coursework - brief descriptions (e.g. 2 sentences each) of possible project ideas you would be interested in pursuing. Nandita Garud (to subscribe/unsubscribe the EvolDir send mail to golding@mcmaster.ca)