The group Ecophysiology of Plants at LSAI and TUM School of Life Sciences are looking for a Ph.D. student interested in the relationships between the fitness of forest trees and the diversity of their rhizospheres by using multi-community DNA barcoding. Your tasks include establishing and applying novel sequencing approaches for rhizosphere community analyses and data evaluation integrating tree growth data.
Your topic will be to uncover relationships between tree growth and rhizosphere biodiversity. You will investigate the biodiversity of complex rhizosphere communities and their relationship with tree growth dynamics using natural forest sites throughout Bavaria and an experimental site for testing extreme drought. A combination of novel community sequencing approaches for root associated microorganisms, data from long-term forest monitoring, and addi-tionally collected tree growth data will uncover interrelationships between stand growth, biodiversity conservation and climate suitability of the trees and make them usable for forestry measures under changing climate.
If you are interested in joining the team, please apply by 22 November 2022.