UNIVERSITY OF SOUTHAMPTON

Research Fellow in Statistics

Location
Southampton, United Kingdom
Salary
£30,942 to £34,804
Posted
Jul 19, 2021
End of advertisement period
Aug 13, 2021
Ref
1439821PJ
Contract Type
Fixed Term
Hours
Full Time

Statistics

Location:  Highfield Campus
Salary:   £30,942 to £34,804
Full Time Fixed Term (until 03/10/2022)
Closing Date:  Friday 13 August 2021
Interview Date:   To be confirmed
Reference:  1439821PJ

Applications are invited for a position as a Research Fellow in Statistics at the University of Southampton and the Alan Turing Institute as part of the EPSRC-funded “CerTest” project. 

The successful applicant would be based at Southampton but have the opportunity to spend substantial time (physically or virtually) at the Turing Institute in London as a member of the Data-Centric Engineering programme. The postholder will collaborate extensively with statisticians and mathematicians from the Universities of Bath and Exeter, and Engineers from the Universities of Bath, Bristol and Southampton.

The postholder will work on methods for uncertainty quantification in complex computer experiments for materials engineering. In particular, on one of more of the topics of (a) multi-model emulation and design of experiments (propagating uncertainty through linked computer models); (b) statistical calibration, and related design of experiments, for population parameters in mixed-effects computer models; (c) high-dimensional emulation (inputs and outputs). There will be opportunities to apply the methods to experiments performed by collaborating engineers, and to gain insight into their practical importance and relevance via the projects industrial partners. 

CerTest – full title ‘Certification for Design - Reshaping the Testing Pyramid’ – is £6.9M research investment (programme grant) of the UK Engineering and Physical Sciences Research Council (EPSRC). CerTest is a close partnership between academic partners at the Universities of Bristol (lead), Bath, Exeter and Southampton, with strong industrial and stakeholder support from Airbus, Rolls Royce, BAE Systems, GKN Aerospace, Centre for Modelling and Simulation, the National Composites Centre and the Alan Turing Institute, and 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. CerTest represents a decisive step towards ‘virtual testing’ on the structural scale, which 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. 

The core research challenges in CerTest are strongly multidisciplinary. The research is conducted through close collaboration between the universities and with the industrial partners by a team of academics and postdoctoral fellows, supported by a group of PhD and EngD studentships.

For more information about CerTest see:  https://www.composites-certest.com

To deliver the overarching objectives of CerTest it is necessary to develop methodologies that enable high-fidelity and robust testing of composite aero-structures on the component and sub-structure levels. A key part of the novel research will be to design the testing approach and to integrate the  physical testing with multi-scale modelling in a closed feed-back loop, so that the models inform the choice of physical tests and the test outputs inform and update the models. 

This role will require a combination of technical and scientific skills, and the ideal candidate should hold a PhD* or equivalent professional qualification in Statistics, relevant areas of Applied Mathematics or quantitative areas of Engineering. Experience in Bayesian modelling and computation and/or design of experiments would be highly desirable, along with experience in and/or enthusiasm for engineering applications and computational modelling.

This post is being offered on a full-time basis until 03/10/2022 starting as soon as possible after 4 October 2021.

Informal enquiries are encouraged and may be made to Professor David Woods (email: D.Woods@southampton.ac.uk).

*Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification.  The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.

Application Procedure 

You should submit your completed online application form at https://jobs.soton.ac.uk. The application deadline will be midnight on the closing date stated above. If you need any assistance, please call Kate Pounds (Recruitment Team) on +44 (0) 23 8059 2750 or email recruitment@soton.ac.uk   Please quote reference 1439821PJ on all correspondence. 

Similar jobs

Similar jobs