Postdoc in modelling bacterial ecology, evolution and epidemiology in Zürich

Join the group to work at the intersection of evolutionary theory and public health. We combine mathematical modelling with genomic and epidemiological data to answer fundamental questions about the behaviour of clinically important traits, such as antibiotic resistance, in bacterial populations.

The Evolutionary Epidemiology team is led by and part of the group at ETH Zurich. The group is very friendly, with people from diverse backgrounds working on a range of projects relating to microbial evolution and dynamics. This creates unique opportunities for collaborations and learning across disciplines.

We are interested in people who approach science with curiosity and intellectual rigour. If you like our papers, we want to hear from you!

We are looking for a postdoctoral researcher to join our team. The position is for two years initially, with the possibility of extension. The start date is flexible, ideally by September 2023.

You will have freedom to shape your project within our research topics. Possible directions include:

• How does within-host bacterial competition shape epidemiological dynamics?
• How does competition between plasmids affect the evolution of antibiotic resistance?
• What maintains bacterial strain structure in the face of recombination?

• A PhD in a relevant topic, such as evolutionary theory, computational biology, or infectious disease dynamics, by the start date.
• Expertise in mathematical modelling and/or genomics.
• Excellent written and oral communication skills in English.

• An exciting opportunity to shape your research working at a top research university in a great city.
• A supportive and stimulating working environment with a strong culture of mentorship and collaboration.
• Access to top-notch resources and opportunities for independent funding and fellowships.
• Excellent support for further learning and professional development.
• Plenty of opportunities for collaboration, attending scientific conferences and building your scientific network.