Mathematical modelling of cancer evolution

I have funding for a PhD student to join my research group in the Department of Mathematics at City, University of London.

The student will pursue a research project on mathematical modelling of cancer evolution as part of the international Arizona Cancer Evolution Center (ACE), which unites cancer evolution experts in London, the US, Switzerland and elsewhere. The specific project topic is somatic evolution and its implications for evolutionarily-informed cancer therapy (including adaptive therapy).

Applicable mathematical methods include differential equation models, stochastic processes, agent-based models, and evolutionary game theory. In addition to developing theoretical models, the student will collaborate with experimental biologists to integrate models and data. The publications cited in the References section below are especially relevant.

I’m looking for a student who has (or will soon have) a good honours degree in mathematics, physics, computational biology or another scientific discipline that has equipped them with strong analytical skills, and who is enthusiastic about applying those skills to answering important biological and clinical questions. Demonstrated mathematical modelling capability, relevant biological knowledge, and programming experience (e.g. in C, Python, R or Matlab) are highly desirable.

I'm advertising until the end of March but will begin reviewing applications on 15th March.

More information about my research is available on my website: https://robjohnnoble.github.io.