Postdoctoral Research Assistant for EPSRC-funded Project
“A hybrid Monte Carlo algorithm for simulating phase transitions in dense polymer systems”
We have one opening for a 24-months postdoctoral research assistant position to work on complex networks. This position is funded by the EPSRC-funded project “A hybrid Monte Carlo algorithm for simulating phase transitions in dense polymer systems” to carry out research on development and implementation of uniform-sampling Monte-Carlo algorithms.
Project details: The crystallisation transition of a polymer from a molten globule is notoriously difficult to simulate; the best algorithms available today are barely able to access this transition, let alone shed any light on its nature. As stochastic growth algorithms are very naturally suited for the simulation of chain molecules such as polymers or proteins, it is expected that the strategy of incorporating additional Monte-Carlo moves into these will lead to an improvement of orders of magnitude, resulting in new algorithms that will have a clear edge over competing ones. The aim of this project is therefore to develop a hybrid uniform sampling algorithm combining the best features of the stochastic growth algorithms and recent Markov chain Monte Carlo algorithms with smart moves. As uniform sampling techniques work by enhancing the sampling frequency of rare and extreme events, this research will have significant impact on the understanding of extreme events in complex systems in general.
Suitable candidates: The successful candidate will be expected to have a PhD in mathematics, applied mathematics, computer science, physics, statistics, or a closely related discipline. The successful candidate should also have a strong background in statistical physics or a computational discipline, with experience in working with a high-level programming language.
Information about the School of Mathematical Sciences: The School offers energetic and diverse postgraduate activity across the spectrum of mathematical sciences from pure and applied mathematics to statistics. Our staff include international leaders in many areas of mathematical research, and the School is a hive of activity, providing a vibrant postgraduate life. For more information about the School please see www.maths.qmul.ac.uk/
Contact: Informal enquiries can be made by email to Thomas Prellberg, firstname.lastname@example.org
Funding details: The position is supported by the EPSRC project ” A hybrid Monte Carlo algorithm for simulating phase transitions in dense polymer systems.”
This full time, 24 months fixed term position is available to start on 1 September 2014, or as soon as possible thereafter. Starting salary will be £35,319, inclusive of London Allowance. Benefits include 30 days annual leave, defined benefit pension scheme and interest-free season ticket loan.
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/ (link is external) and search with the vacancy reference number.
Please ensure you include with your application a curriculum vitae, a list of publications and a research statement.
The closing date for applications is 31 August 2014. Interviews are anticipated to be held on 8 September 2014.
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