CerTest Research Associate in Bayesian Uncertainty Quantification for Aerospace Composites (fixed-term post)

Job title CerTest Research Associate in Bayesian Uncertainty Quantification for Aerospace Composites (fixed-term post)

Department Mathematical Sciences

Salary Starting from £33,199, rising to £39,609

Grade Grade 7

Placed on Thursday 07 November 2019

Closing date Sunday 05 January 2020

Interview date To be confirmed

Reference CC6943R

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This role will give you opportunity to develop new statistical methods, mathematical theory and large scientific calculations, within an application of significant importance to the aerospace industry.

Specifically, this position will develop:

  1. High dimensional Markov chain Monte Carlo samplers for large scale, nonlinear modelling of composite materials and structures
  2. Statistical design and inference methods to integrate real aircraft testing data from different scales of the  structure together  with  information about manufacturing defects and expert prior information

These represent a decisive step towards ‘virtual testing’ and aims to reduce development cost and time to market, as well as to enable more structurally efficient and lightweight composite aerostructures that are essential for meeting future fuel and cost efficiency challenges.  

You will be part of an exciting team of scientists which will include Mechanical Engineers, Applied Mathematicians and Statisticians to work in this ambitious project. The role will involve a close collaboration with Prof. Scheichl at Heidelberg and the Data Centric Engineering Programme at the Alan Turing Institute. 

It is envisaged the position will spend short periods collaborating at each of these institutions.

You should hold a PhD in computational statistics or applied mathematics and have substantial experience with Bayesian sampling methodologies in high dimensions (in areas such as uncertainty quantification or imaging) as well as having a broad statistical modelling knowledge.

Specific experience with modelling of structural mechanics, design of experiments or reliability (survival) analysis would be an advantage, as would experience with different computing platforms such as R, C++, Python, and general HPC platforms.

This exciting position is part of the wider programme CerTest - full title 'Certification for Design - Reshaping the Testing Pyramid' - is £6.9m research investment of the UK Engineering and Physical Sciences Research Council (EPSRC) in the form of a so-called Programme Grant. CerTest is conducted in a close partnership between academic partners University of Bristol (lead), University of Bath, University of Exeter and the University of Southampton, with strong industrial and stakeholder support by Airbus, Rolls Royce, BAE Systems, GKN Aerospace, CFMS, the National Composites Centre (NNC), the Alan Turing Institute, and with close interaction with the European Aviation Safety Agency. CerTest addresses barriers to validation and certification of composite aerostructures posed by the so-called ‘building block approach’ (or ‘testing pyramid’) which is the backbone of current validation and certification processes.

This is a fixed-term contract for 2 years with a possible 1 year extension.

For more details about the role please contact Dr Karim Anaya-Izquierdo (kai21@bath.ac.uk) or Prof Richard Butler (R.Butler@bath.ac.uk), however, please ensure that your application is submitted via the University website.

Please include a covering letter, detailed CV and an abstract of your PhD thesis with your application.

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Further details:
The University of Bath is an equal opportunities employer and has an excellent international reputation with staff from over 60 different nations. To achieve our global aspirations, we welcome applicants from all backgrounds.