The Cluster of Excellence Balance of the Microverse of the Friedrich Schiller University Jena combines expertise in life, material, optical and computational sciences to elevate microbiome studies from descriptive to hypothesis-driven and functional analyses. Our core mission is to elucidate fundamental principles of the interactions and functions in microbial communities in diverse habitats ranging from oceans and ground water to plant and human hosts.

We are regularly publishing open positions here.

For our new Junior research group Mechanisms of Metabolic Microbial Interactions, we seek candidates to fill the following positions

Doctoral Researcher in Bioinformatics for Microbial Life Histories Prediction

We are seeking a highly motivated Doctoral Researcher to join our pioneering project on the conceptualization and prediction of microbiome life history functions. This project aims to establish a computationally guided life history theory for host-associated microbiomes, focusing on the trade-offs microbes face between investment in growth, survival, and reproduction, and the traits enabling them to thrive in the host environment. Our work has already led to significant insights into the microbiome of C. elegans, utilizing life history frameworks for understanding competitive, stress-tolerating, and ruderal strategies. We are now looking to expand our research to cover diverse microbiomes across different habitats, with a keen interest in microbiome responses to changing conditions and how disturbed interactions can be rebalanced.

More information and apply by June 23, 2024 here!

Postdoctoral Researcher in Computational Biology and Microbiome Dynamics

We are seeking an exceptional Postdoctoral Researcher to join our team on two innovative projects aimed at advancing our understanding of microbial life histories and microbiome dynamics. The first project focuses on the conceptualization and prediction of microbiome life history functions, utilizing computational models to explore trade-offs microbes face in growth, survival, and reproduction. The second project aims to identify functional driving forces behind microbiome community dynamics, with a focus on developing predictive frameworks that capture essential microbiome functions. This integrated role will involve extensive metabolic and ecological modeling, dynamic simulation, and statistical analysis of microbial communities. Developing modeling frameworks for microbial life histories and microbiome dynamics enables predicting future microbial community states and allows for targeted interventions, e.g., ecosystem restoration or microbial transplantations.

More information and apply by June 23, 2024 here!