Mathematical models of antibiotic resistance evolution

Theme: Ecology genetics and evolution

Description: 

The rise of antibiotic resistance is not only a major problem in public health but also a case of 'evolution in action'. In this project, you will contribute to our understanding of the evolutionary dynamics of antibiotic resistance evolution by developing mathematical models and computer simulations. Specific topics of interest in our lab include treatment strategies (e.g., cycling and combination therapy), horizontal gene transfer, genetic interactions between mutations (i.e., epistasis, fitness landscapes) and the impact of varying drug concentrations (pharmacodynamics & pharmacokinetics).

Additional Information: You should have a strong background in at least one (not necessarily all!) of the following fields: evolutionary/population biology, genetics, mathematical modelling (e.g., differential equations or stochastic processes), or microbiology. The specific project can be tailored to suit your background and interests.

Contact: Assoc Prof Jan Engelstaedter