Your mission
The postion is initially limited to three years.
The Microbiome Dynamics (MBD) Department contributes, using computational methods, to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention of human diseases (e.g., Zhang et al., Nature Microbiology 2025; Li et al., Nature Metabolism 2024; Ni et al., Cell Metabolism 2023; Leung et al., Science Translational Medicine, 2022; Seelbinder et al., Nature Communications, 2023). MBD is currently coordinating the EU-funded consortium MiCCrobioTAckle (www.miccrobiotackle.eu/), the BMBF-funded consortium PerMICCion (www.permiccion.de), and is an active participant in the EU-funded consortia FOODGUARD (www.foodguard-project.eu/) and NUTRIMMUNE, the Cluster of Excellence "Balance of the Microverse" (www.microverse-cluster.de) funded by the Deutsche Forschungsgemeinschaft and the consortium SynThera funded by the Carl Zeiss Foundation (www.synthera.eu/).
We are seeking for an excellent and enthusiastic post-doctoral researcher with a strong interest in computational microbiome research. The specific focus of the project will be tailored to the candidate’s skills and interests and will align with the objectives of the aforementioned consortia. A key component of the work will involve the computational integration of multi-omics datasets from both microbial communities and the host, with the goal of uncovering the systemic impact of gut bacteria on human physiology.
As part of this position, you will work at the interface of the gut microbiome, diet, and the immune system to investigate the role of gut bacteria in various diseases, including but not limited to cancer, metabolic disorders, ageing and infections. You will collaborate with renowned scientists in an interdisciplinary and international environment supported by state-of-the-art infrastructure. Together, we aim to advance science and contribute to a healthier, cleaner, and fairer society, fostering academic excellence in a collegial and inclusive setting.