Plants are key to future food security, but crop yields are threatened by climate change, anthropogenic input, and emerging pathogens. Beneficial root-associated microbes form a promising solution by protecting plants against stress and disease, but field applications are lagging behind due to varying ability of beneficial bacteria to colonize and survive in the rhizosphere. Ground-breaking experimental and computational approaches are opening up new possibilities to study the interactions between microbes and the plant and contribute to designing rhizosphere competent beneficial inoculants.
As a Postdoctoral Fellow you will work at the intersection of data science and plant-microbe interactions, embedded in two state-of-the art research groups. Within our interdisciplinary team, you will contribute to developing and applying innovative computational approaches to understand the rhizosphere microbiome. You will integrate diverse meta’omics big datasets, focusing on identifying traits that allow microbes to survive and thrive in the rhizosphere. By interpreting the identified traits in the context of cross-domain species interactions, you will make specific predictions about enhancing the functionality of beneficial microbes and contribute to preparing plants against future threats.