The Keitt Lab at the University of Texas at Austin announces the immediate availability of a 1-year postdoctoral position in landscape genetics. We seek an energetic scientist interested in utilizing genomic, experimental and modeling approaches to understand adaptive dynamics across species ranges and under environmental change. This opportunity stems from an anticipated 1-year extension of a 4-year grant funded by NSF. As such, the successful candidate will have access to extensive genomic, physiological and modeling resources already in place, which will facilitate rapid progress. Opportunities to participate in renewal and other funding efforts are anticipated.
The ideal candidate will have a strong interest in utilizing genomic tools to investigate gene flow and local adaptation in landscapes. Relevant areas of expertise may include: population genetics, genomics, data mining, hierarchical statistical modeling, machine learning, GIS, spatial data analysis, plant ecophysiology and biogeography. Essential traits are high productivity, a willingness to learn, and ability to work collaboratively. The successful candidate will be free to pursue their own research interests as they relate to the funded project. The position is full time and receives full benefits; salary commensurate with experience. Interested candidates should contact Dr. Timothy Keitt <[email protected]> for instructions. Applications will be accepted immediately with a starting date no later than September 1, 2013. For more information regarding the Keitt Lab, visit http:/www.keittlab.org/ Original award abstract: http://goo.gl/rKfqR Related papers: Lasky, J. R., Des Marais, D. L., McKay, J. K., Richards, J. H., Juenger, T. E., & Keitt, T. H. (2012). Characterizing genomic variation of Arabidopsis thaliana: the roles of geography and climate. Molecular ecology, 21(22), 551229. doi:10.1111/j.1365-294X.2012.05709.x Behrman, K. D., Kiniry, J. R., Winchell, M., Juenger, T. E., & Keitt, T. H. (2013). Spatial forecasting of switchgrass productivity under current and future climate change scenarios. Ecological Applications, 23(1), 7385. Kiniry, J. R., Anderson, L. C., Johnson, M. V. V, Behrman, K. D., Brakie, M., Burner, D., others. (2013). Perennial Biomass Grasses and the Mason--Dixon Line: Comparative Productivity across Latitudes in the Southern Great Plains. BioEnergy Research, 116.
