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Duration: Fixed term contract until 31st March 2029
About the Role
Informal Queries
- For informal queries, please contact Dr Michael Faulkner (Assistant Professor) at Michael.Faulkner@warwick.ac.uk
Flexible Working
- We will consider applications for employment on a part-time or other flexible working basis (e.g. job share), despite the position being advertised as full-time.
This is a full time (36.5 hours), fixed-term contract ending no later than 30th March 2029. Contract length is 2.5 years with possibility of extension dependent on agreed salary due to restricted budget.
This is an exciting opportunity to join a Warwick-based research group leading the development of advanced Monte Carlo simulation for the physical sciences. The group is based in the Statistical Foundations and Stochastic Processes Lab of the Predictive Modelling Research Cluster of the School of Engineering – and has close connections with both the Department of Physics and the Department of Statistics.
We are seeking to appoint an ambitious Research Fellow for a 2.5 year EPSRC-funded research project entitled Rare-event simulation with rejection-free Monte Carlo and led by Dr Michael Faulkner.
The project is motivated by the fact that many important phenomena in the natural sciences are governed by rare transitions between stable states. We must simulate these transitions to develop a comprehensive picture of such phenomena, but this is typically a real challenge using existing simulation techniques. This project will leverage the power of rejection-free Monte Carlo to develop new methods to address the problem — looking towards the longer-term applications of peptide folding, glassy relaxations and solid crystallisation – and ultimately helping to bridge the gap between theoretical insight and practical application. We also aim to develop AI frameworks to characterise the power of these techniques.
This is an excellent fit for candidates with experience in Monte Carlo sampling or the simulation of systems governed by stochastic or deterministic differential equations. It provides the opportunity to develop valuable expertise in powerful rejection-free Monte Carlo techniques, which have broad impact across the physical sciences and computational statistics.
You will undertake both independent and collaborative research, including much interdisciplinary activity at the interface with Bayesian computational statistics. You will also develop professional-level software with our team of professional research software engineers – leading to a broad skill set with impact across computational science and engineering.
You will be expected to deal with any management/administration problems that may arise from the project and produce and present regular project reports ensuring that the project objectives and deadlines are met.
Full details of the duties and selection criteria for this role can be found in the vacancy advert on the University of Warwick’s jobs pages. You will be routed to this when you click on the ‘Apply’ button.
