Research Fellow in 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
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
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
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
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.
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
email@example.com Please quote reference 1439821PJ on all
Job Description and Person Specification
We aim to be an equal opportunities employer and welcome applications from all
sections of the community. Please note that applications from agencies will
not be accepted unless indicated in the job advert.