Biocomputation by Neuronal Networks (BYRON)

We’re looking for an exceptional candidate interested in researching the mechanisms and algorithms for encoding information within a neurosphere. This involves exploring the capacity and capabilities of a third-party provided setup of living neurones on a multi-electrode array. The goal is to reliably and robustly encode arbitrary information for computation inside the neurosphere.

The ideal candidate possesses a very solid understanding of mathematics particularly dynamic systems and information theory. Strong programming experience in various programming languages and numerical analysis is also essential. An interest in neuroscience and computational modelling would be advantageous.

The studentship requires you to undertake the equivalent of up to 6 hrs of teaching per week on average, during semester time, and to include preparation and marking (but no more than 20 hrs per week), and to participate in a teaching skills course without further remuneration.