This post arises in association with the award of an EPSRC Leadership Fellowship to Professor Malwina Luczak, for research on “Stochastic models for epidemics in large populations: limiting and long-term behaviour”. One of the principal aims of the project is to prove rigorous results about the long-term behaviour of classes of Markov chains arising in biological applications. The post holder will study problems outlined in the grant proposal, for instance concerning time to extinction and quasi-stationary distributions for birth-and-death chains, as well as more complex Markov chains. The successful candidate will work under the supervision of Professor Luczak within the School of Mathematical Sciences.
This full time, 1 -year fixed term position is available with an immediate start date. Salary will be £32,820 per annum. Pay award of 2% is pending. Benefits include 30 days annual leave plus 4 College closure days, defined benefit pension scheme and interest-free season ticket loan.
Candidates must have a PhD in Mathematics or Statistics (or imminent submission of thesis) and strong background in theoretical probability. Experience of research on the theory of Markov Chains and familiarity with mathematical models of biological systems are desirable.
Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Where required this may include entry clearance or continued leave to remain under the Points Based Immigration Scheme.
Informal enquiries may be addressed to Prof Malwina Luczak email firstname.lastname@example.org
Application enquiries should be directed to email@example.com.
Please visit www.maths.qmul.ac.uk for further information about the School.
To apply for a position in the School of Mathematical Sciences, please go to http://www.jobs.qmul.ac.uk/ and search with the vacancy reference number.
Please ensure you include a curriculum vitae, a list of publications and a brief description of your research so far as part of your application.
The closing date for applications is 2nd August 2014. Interviews are expected to be held during the week beginning 11th August 2014.
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