Join the DeGiorgio group!

We are actively recruiting members at the graduate and postdoctoral levels.

Our group is currently funded by grants from the Alfred P. Sloan Foundation, the National Science Foundation, and the National Institutes of Health.

Postdocs
We are actively recruiting postdocs to our group to work on projects related to developing statistical methods for identifying adaptive footprints from population genomic data as well as approaches for inferring phylogenies under scenarios of gene flow. The formal postdoc advertisement is found below.

The DeGiorgio Lab, at The Pennsylvania State University, is seeking to hire a highly motivated postdoctoral scholar to work on a broad set of NIH- and NSF-supported projects on developing statistical methods either for studying adaptation from population-genetic data or for inferring phylogenies under violations of the standard multispecies coalescent model. The position requires a Ph.D. degree in statistics, computer science, bioinformatics, genetics, or a related field. The DeGiorgio lab is solely computational, and so knowledge of at least one programming language (C, C++, Java, Python, etc), familiarity with either R or Matlab, and experience using a Unix or Linux environment is highly preferred. Interested applicants should submit a cover letter describing their research interests, a current CV, and contact information for three references. To learn more about the DeGiorgio lab please visit: (http://www.personal.psu.edu/mxd60/). This is a fixed-term appointment funded for one year from date of hire, with possibility of re-funding. Review of applications will begin immediately and continue until the position is filled.

Please visit https://psu.jobs/job/82194 to formally apply. Informal inquiries by email are also welcome.

Graduate students
We are actively recruiting graduate students who are interested in the broad fields of statistical population genetics, human evolutionary genomics, and phylogenetics, with an emphasis on the development and application of statistical approaches within these fields.

Knowledge of a programming language is helpful but not required, as this skillset can be learned when first joining our group.

Prospective graduate students may apply through the Department of Biology, the Bioinformatics and Genomics graduate program, or the Molecular, Cellular, and Integrative Biosciences graduate program.