Cells are complex, autonomous genetic machines with rich information processing capabilities. Synthetic Biology builds on these properties to design novel, synthetic genetic programs in cells to carry out useful functions. Yet, safety and efficiency issues require creation of synthetic circuits that are reliable over a large range of operating conditions and stable to all sorts of external perturbations. This is a tremendous challenge since the robustness of a genetic circuit is limited by its dependency on the cellular host machinery and the fundamental stochastic nature of gene expression. Taking inspiration from physics and engineering, we are using microfluidics, optogenetics, machine learning and control theory to take control of gene expression and signaling in live cells and pilot robustly and in real time their behavior.
We are looking for a postdoctoral researcher to strengthen our research team. Candidates should have an excellent track-record, be passionate about science and ready to work in an international and interdisciplinary research environment. A solid basis in microfluidics is required. Experience in physics, biology, DIY instrumentation, image analysis, coding (e.g. Matlab, python) are welcomed. Postdoctoral funding comes from an ERC grant.
Deadline for application: open until filled
For more information, please visit the following link:
Postdoctoral Positions, Université Paris Diderot, France (2019)