Postdoc Position, Multiscale Methods & Uncertainty Quantification

Announcer: 
Prof. Robert Scheichl
Organization: 
University of Bath
City: 
Bath
Country: 
United Kingdom
Email: 
R.Scheichl@bath.ac.uk
Job Description: 

The University of Bath is seeking applicants for a 42-month Research Officer position on an exciting new project in

“Multiscale modelling of aerospace composites - Increasing Quality,
Reducing Empiricism and Challenging Conservatism.”

Candidates with a PhD in a Science/Engineering subject with significant mathematical content, a solid background in numerical methods for partial differential equations and experience of programming and implementation of numerical methods are encouraged to apply. Experience in some of the following areas will be a distinct advantage: structural/composite mechanics, FE analysis, multiscale discretisation techniques, stochastic uncertainty quantification, statistics. Candidates should be self-motivated and possess project management and technical communication skills.

For further details and the online application form see:

http://www.bath.ac.uk/jobs/Vacancy.aspx?ref=RJ1943

The successful applicant will work in a vibrant, multidisciplinary team of engineers and mathematicians to develop novel mathematical modelling and uncertainty quantification tools that will challenge conservative stress/strain limits and reduce the high cost of certification in aerospace manufacture as well as the high design-to-manufacture time. An embedded university-industry partnership with GKN Aerospace, one of the main manufacturers of composites for the aeronautical industry, will guarantee the immediate impact of this research.

Closing date: Thursday, 31 October 2013

If you have any questions or require any further information, please contact Prof Richard Butler (R.Butler@bath.ac.uk) or Prof Rob Scheichl (R.Scheichl@bath.ac.uk).

Job Categories: 
Postdoctoral fellowships
Keywords: 
Numerical Analysis, Finite Elements, Multiscale Methods, Composite Materials Modelling, Stochastic Uncertainty Quantification, Multilevel Monte Carlo, Bayesian Inference
Deadline for Application: 
Oct 31 2013
satunnaisuus