PhD student position: Find new and unconventional antibacterial compounds to treat Tuberculosis

The Zampieri group offers multiple research opportunities for PhD candidates in the context of systems pharmacology, cancer and microbiology, computational biology and metabolic regulation. These positions will be based in the Department of Biomedicine (https://biomedizin.unibas.ch/en/) in Basel, one of the world's leading locations for life sciences, home to several companies and institutions.
The mission of the group is to understand fundamental mechanisms regulating short- and long-term metabolic adaptation to genetic and chemical perturbations to find new and unconventional therapeutic strategies, ranging from antibacterial to anticancer drugs. To this end, we develop new ways to combine state-of-the-art technologies in metabolomics with mathematical modeling.
The PhD students will exploit some of the cutting-edge experimental and computational methods, comprising high-throughput metabolomics, time-lapse microscopy, constraint-based and kinetic modeling, to investigate how to pharmacologically interfere with fundamental mechanisms in the regulation of metabolism. Available resources at the department include a mouse facility, high-end FACS, IT and microscopy facilities, the Life Sciences Training Facility (for gene expression and proteome profiling) and much more.
The candidates are expected to have a strong background and interest in quantitative disciplines, excellent teamwork and communication skills in English. They will have the opportunity to develop the following projects with a lot of academic freedom and strong support from senior members in the lab, and at the same time to play an active role in shaping and in creating inspiring research and working environment.

We are looking for a highly motivated doctoral researcher to find new and unconventional antibacterial compounds to treat Tuberculosis. This project will be conducted in collaboration with Prof. Michael Berney (https://www.berneylab.org/) at the Albert Einstein College of Medicine (50% wet lab and 50% computational).