Applications are invited for the post of Research Fellow in Mathematical Biology of Cell Differentiation based in the Department of Microbial and Cellular Sciences within the Faculty of Health and Medical Sciences at the University of Surrey, one of the UK’s most prestigious universities. You will undertake research in a vibrant, inter-disciplinary research environment with an excellent international reputation.

You will be an important member of the research team investigating stem cell differentiation in zebrafish. In particular, the project focuses on developing a quantitative understanding of the gene regulatory network controlling fate choice from bipotent precursors in the neural crest, and exploring how the output of these networks is affected by stochastic fluctuations (noise) in gene expression. This is a new exciting BBSRC-funded collaboration between the University of Surrey (Dr Andrea Rocco – FHMS, Mathematical Biology) and the University of Bath (Prof Robert Kelsh (Developmental Genetics) and Dr Hartmut Schwetlick (Applied Mathematics)) utilising and developing a Systems Biology approach, with strong interactions between experimental and theoretical components.

The post-holder, based in Surrey in the group of Dr Rocco, but closely interacting with Prof Kelsh and Dr Schwetlick, will be responsible for developing the theoretical aspects of the project. The main responsibility of the role will be to apply a combination of mathematical analysis techniques and simulations to construct deterministic and stochastic models of the gene regulatory network driving the differentiation process. The post holder is expected to liaise with the experimental team in Bath to develop the models, validate them, and inspire appropriate follow-up experiments.

Candidates for this post should have a PhD in Theoretical Physics or Applied Mathematics, very strong analytical and numerical skills, and be keen to work at the interface between mathematical modelling and Biological Sciences. Experience with dynamical systems theory, statistical mechanics or stochastic processes, in particular Master Equations and Langevin formalisms, is highly advantageous.

The appointment will be full time for 36 months from £29,837 to £32,590 per annum, depending on the profile and experience of the successful candidate.

In addition to salary you will receive a generous annual leave entitlement and excellent development opportunities. Benefits package includes pension, childcare assistance and leisure facilities.

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