May 2013
Message 61

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[Met-jobs] Research Associate, University of Sheffield, UK

From "Roger Brugge" <>
To "" <>
Date Wed, 22 May 2013 09:15:01 +0000

Research Associate
School of Mathematics and Statistics
University of Sheffield, UK

Closing Date: 21st June 2013
Salary: £28,685 to £36,298 per annum, with potential to progress to £39,649
Job Reference Number: UOS006589

Applications are invited for a three year postdoctoral research position to 
work on a multidisciplinary research project "Simulation Tools for Robust 
Automated Manufacturing". The project is a new collaboration between 
statisticians at the School of Mathematics and Statistics and engineers at the 
Advanced Manufacturing Research Centre at the University of Sheffield. The 
project objective is to develop and test a methodological framework for 
efficient optimisation of automated manufacturing processes that will be robust 
to input uncertainties. The main job roles will be to

1. develop and implement methodology for the Bayesian analysis of uncertainty 
in computer model outputs, with a particular focus on model calibration and 
optimisation, and

2. develop and implement statistical methodology for signalling out of control 
processes in the presence of autocorrelation. Use this methodology to construct 
optimal feedback adjustment techniques, in order to return the processes to 
target levels.

The Research Associate will be working under the supervision of Dr Jeremy 
Oakley, Dr Eleanor Stillman and Dr Kostas Triantafyllopoulos in the School of 
Mathematics and Statistics, and will be collaborating actively with researchers 
at the Advanced Manufacturing Research Centre.

Candidates should have (or expect soon to have) a PhD in Statistics or a 
related field with a strong background in Bayesian statistical methods, and 
good statistical computing skills in a software environment such as R or Matlab.

This post is fixed-term with a start date of July 1st 2013 and an end date of 
June 30th 2016.

For further details, including information about how to apply, go to

and search for this job using the reference number UOS006589

For informal enquires, please contact Jeremy Oakley 
(<>) +44 114 

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