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Vacancies

From time to time vacancies arise within the department. Posts will be advertised on this page as and when they arise.


Research Associate in Monte Carlo Methods for Calibrating High-Dimensional Models

The post holder will be expected to conduct research in statistical methodology and Monte Carlo computations related to a project led by Dr Alexandros Beskos to develop and apply state-of-art Monte Carlo methods to calibrate complex high-dimensional models. Some main directions of intended research are; Multi-Level (ML) Sequential Monte Carlo (SMC) for Inverse Problems; Filtering for Stochastic Partial Differential Equations (SPDEs); Likelihood-Based Inference for Models with Memory.

Candidates should hold or be close to submitting a PhD (or equivalent qualification) in Statistics, or a closely related field. It is essential that the successful candidate has a strong background in Statistics / Computational Statistics, with previous experience of Bayesian theory and Monte Carlo algorithms, programming experience in statistical software packages e.g. R or Matlab and excellent communication skills.

The post is available from 1 October 2015 (or as soon as possible thereafter) and is funded for 12 months in the first instance.

Closing date: 31 May 2015

Fellowships currently available


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Page last modified on 28 may 15 09:48