Research Associate in Mathematical Biology University of Manchester, Division of Developmental Biology & Medicine United Kingdom

Research Associate in Mathematical Biology

Job Reference : BM&H-13184

Location : Oxford Road, Manchester

Closing Date : 15/01/2019

Salary : Starting salary £32,236 per annum

Employment Type : Fixed Term

Faculty / Organisational Unit : Biology, Medicine & Health

Division : Developmental Biology & Medicine

Hours Per week : Full time

Contract Duration : Available from February 2019 until 30 September 2020

We are recruiting an ambitious and motivated theoretician researcher at the post-doctoral level, to apply mathematical/computational approaches in understanding the behaviour of oscillatory/pulsatile networks under diverse conditions and across temporal scales. The biological context is the development of the vertebrate nervous system and the cell fate specification of stem cells. We will investigate the output of gene regulatory networks over time and the influence of biological noise.


Our experimental approaches involve both snapshot measurements with absolute quantification of mRNA and protein, as well as dynamic gene expression time series data, both at the single cell level. Therefore, a key aspect of this post will be to “integrate” related or complementary data obtained by different methodologies. We are looking for someone with theoretical skills on one or more of Dynamical Systems, Differential Delay Equations, Bayesian Inference and Stochasticity.


The post is funded by the Wellcome Trust and is from February 2019 until 31/09/2020. Candidates must hold a PhD in a Mathematics, Physics, Control Engineering, Computer Sciences or Systems Biology discipline and have at least one first author publication in an international journal in the last 3 years. The successful candidate will have theoretical skills, an interest in biology and will be highly interactive with a demonstrated record of successfully interacting with experimental biologists.


Further information about the laboratory can be found at


For Key publications relating to this project see:

Manning, C., Biga, V., Boyd, J., Kursawe, J., Ymisson, B., Spiller, D., Sanderson, C., Galla, T., Rattray, M., and Papalopulu, N. (2018) Quantitative and live single cell analysis in tissue reveals dynamics of neurogenesis, under review in Nature Comm, available in Biorxiv, doi:, selected by Company of Biologists PreLights.


Phillips, N., Manning, C., Papalopulu, N.*, and Rattray, M*. (2017) A statistical method for identifying stochastic oscillations in single cell live imaging time series, based on Gaussian processes, PLOS Comp Biology, May 11;13(5):e1005479.*Joint corresponding authors


Phillips, N., Manning, C., Pettini, T., Biga, V., Marinopoulou, E, Stanley, P, Boyd, J., Bagnall, J., Paszek, P., Spiller, D., White, M., Goodfellow, M, Galla, T, Rattray. M, Papalopulu, N. (2016) Stochasticity in the microRNA/Hes1 oscillatory network accounts for clonal heterogeneity in the timing of differentiation, eLIFE, Oct 4;5 doi: 10.7554/eLife.16118.


Goodfellow, M., Phillips, N., Manning, C, Galla, T., and Papalopulu, N. (2014) microRNA input into a neural ultradian oscillator controls emergence and timing of alternative cell states. Nature Communications 4;5:3399


Successful candidates may be subject to pre-employment screening carried out on our behalf by a third party. The offer of employment will be dependent on the successful candidate passing that screening. Whilst you will be required to provide express consent at a later stage, by continuing with your application now you acknowledge that you are aware that such screening will take place, and agree to take part in the process.


The School is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School holds a Bronze Award for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. Appointment will always be made on merit.


For further information, please visit:


Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies

Enquiries about vacancy shortlisting and interviews:

Name: Prof. Nancy Papalopulu


Tel: 0161 306 8907


Technical support:


Tel: 0161 850 2004


General enquiries:


Tel: 0161 275 4499

This vacancy will close for applications at midnight on the closing date

If you apply for this position please say you saw it on Bioloxy


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