Research Fellow in Mathematical Biology of Cell Differentiation: The role of stochastic fluctuations University of Surrey - Department of Microbial and Cellular Sciences Location: Guildford Salary: £30,434 to £33,242 Hours: Full Time Contract Type: Contract / Temporary Placed on: 10th August 2015 Closes: 23rd August 2015 Job Ref: 052515 ★ View Employer Profile
Anticipated start date: 1st October 2015
Project end date: 28th February 2017
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 an 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.
In return we offer a generous annual leave allowance, defined pension scheme, exclusive discounted membership for the Surrey Sports Park, on-site childcare facilities and relocation allowance (where applicable), in addition to the opportunity to join one of the best Universities in the Country.
For an informal discussion about the role, please contact Dr Andrea Rocco via email at A.Rocco@surrey.ac.uk.
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