13-month postdoctoral fellowship studying eco-evolutionary processes
Come work with Dr. Meghan Avolio and her wonderful lab members to study ecological and evolutionary processes in cities and grasslands. Dr. Avolio is in the Department of Earth and Planetary Sciences (eps.jhu.edu). We have diverse research interests and strive to create an inclusive research environment where everyone can thrive. Please see our website for more details on the lab (avoliolab.weebly.com).
The postdoctoral fellow will work on two projects at the analysis stage. The first is on urban evolution of cosmopolitan weed species. We have collected a 20 billion read dataset of reduced-representation genomic data from six plant species across five US cities to study population genetics and evolutionary questions. Planned work on this project should result in one first author publication and two co-authored publications. The fellow will also be encouraged to develop their own questions and analyses made possible with this extensive dataset. The second project is to organize and co-lead an NSF funded working group with the mission of better incorporating evolutionary processes into research at long-term ecological research (LTER) sites. Work on this project will result in one first author publication focused on synthesis from the working group findings. Additional publication and collaborative opportunities will be encouraged and supported through connections formed at the working group.
Applicants should have a background in population genetics, eco-evolutionary processes, applied statistics, and bioinformatics. Experience working with RADseq data is a plus. We will be looking for someone with strong technical (coding in R or other high-level language) and communication (writing) skills. Applicants with interests in urban evolution, common garden studies, and understanding evolution of polyploid and/or nonmodel species are appreciated but not required.
The salary is $55,000 a year with benefits. Baltimore is a great city to live and work in, but there is also the possibility to do this remotely. The start date is no later than Jan 1, 2022.
If interested, please email Meghan Avolio directly (meghan.avolio@jhu.edu) with an up-to-date CV and a brief paragraph of why this research interests you. Review of applications will begin Sept 28.
The postdoctoral fellow will work on two projects at the analysis stage. The first is on urban evolution of cosmopolitan weed species. We have collected a 20 billion read dataset of reduced-representation genomic data from six plant species across five US cities to study population genetics and evolutionary questions. Planned work on this project should result in one first author publication and two co-authored publications. The fellow will also be encouraged to develop their own questions and analyses made possible with this extensive dataset. The second project is to organize and co-lead an NSF funded working group with the mission of better incorporating evolutionary processes into research at long-term ecological research (LTER) sites. Work on this project will result in one first author publication focused on synthesis from the working group findings. Additional publication and collaborative opportunities will be encouraged and supported through connections formed at the working group.
Applicants should have a background in population genetics, eco-evolutionary processes, applied statistics, and bioinformatics. Experience working with RADseq data is a plus. We will be looking for someone with strong technical (coding in R or other high-level language) and communication (writing) skills. Applicants with interests in urban evolution, common garden studies, and understanding evolution of polyploid and/or nonmodel species are appreciated but not required.
The salary is $55,000 a year with benefits. Baltimore is a great city to live and work in, but there is also the possibility to do this remotely. The start date is no later than Jan 1, 2022.
If interested, please email Meghan Avolio directly (meghan.avolio@jhu.edu) with an up-to-date CV and a brief paragraph of why this research interests you. Review of applications will begin Sept 28.
