In this project, which is funded by an ERC advanced grant, we will determine the dynamic high-resolution 3D structure of the bacterial chromosome. This structure will constitute the basis for understanding the spatial aspects of gene regulation and chromosome organization throughout the cell cycle. The project requires methods development on several different fronts and while the preliminary experimental results are promising, they also suggest that we will face a challenging computational data analysis problem.
We are recruiting an experienced computational physicist who would like to take the lead on this modelling challenge! The experimental part of the project will generate thousands of time-dependent distance constraints on the chromosome structure, and you will develop methods to derive dynamic polymer conformations that satisfy these constraints. We offer a stimulating interdisciplinary environment where you will work closely with experts in microbiology, microfluidics, biophysics, image analysis, and molecular biology, but you will be free to shape your part of the project within the framework of the scientific goals. This is a full-time research position, but teaching opportunities exist if there is an interest from the successful candidate.
You should have a PhD in computational physics or within another area that the employer considers to be equivalent, and solid skills in numerical optimisation, scientific programming, and modelling of dynamic systems. To be considered for the position, you should also have a creative and self-motivated personality and an interest in fundamental science. Since the project requires collaboration with other researchers in the team, your interpersonal skills should be very good and you should communicate unhindered in English.
The ideal candidate has experience with polymer physics, image analysis and experimental biophysics.