University College London seeks outstanding candidates for a Research Associate position at the Department of Statistical Science.
Project Title: Monte Carlo Methods for Calibrating High-Dimensional Models
Salary Range: (Grade 7) £33,353 to £39,228 (inclusive of London Allowance)
Deadline for Applications: 31st May 2015
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 Sequential Monte Carlo for Inverse Problems; Filtering for Stochastic Partial Differential Equations; Likelihood-Based Inference for Models with Memory.
The post is available from 1 October 2015 (or as soon as possible thereafter) and is funded for 12 months in the first instance.
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.
Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at research assistant Grade 6B (salary £29,193 - £30,783 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.
To apply go to http://www.ucl.ac.uk/hr/jobs/ and look for reference no 1458635.
Informal enquiries regarding the vacancy may be addressed to Dr Alexandros Beskos,
email: [log in to unmask], tel: +44(0)20 7679 8352.
Dr Alexandros Beskos
Senior Lecturer in Statistics, University College London
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