PhD Studentship: Automated Design in the Presence of Noise & Uncertainty
- Employer
- Global Academy Jobs
- Location
- United Kingdom
- Closing date
- Mar 22, 2017
View more
- Sector
- Science, Physical Sciences and Engineering, Chemical Engineering, Chemistry
- Hours
- Full Time
- Organization Type
- University and College
- Jobseeker Type
- Academic (e.g. 'Lecturer')
Job Details
PhD Studentship: Automated Design in the Presence of Noise & Uncertainty
Computational Engineering & Design Group
Location: Highfield Campus
Closing Date: Wednesday 22 March 2017
Reference: 710616AK
Project Reference: AACE-CED-116
Project Themes: Computational Engineering
Design automation and optimisation techniques have grown in popularity over the past 10 years to the point where they are routinely used across a number of industries. These techniques typically use advanced search algorithms to reduce the number of computational simulations required to perform an optimisation enabling substantial design improvements to be achieved with little or no user interference. Despite their proliferation there are a number of issues with these techniques, they handle design uncertainty in a very inefficient way, can be hampered by noise and could make better use of varying levels of information fidelity. The following PhD studentship aims to address these issues by developing novel stochastic multi-fidelity design optimisation algorithms.
If you wish to discuss any details of the project informally, please contact Dr. David Toal, Computational Engineering & Design Group, Email: djjt@soton.ac.uk, Tel: +44 (0) 2380 59 7662.
To apply, please use the following website:
http://www.southampton.ac.uk/engineering/postgraduate/research_degrees/apply.page?
Further details:
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Job Description and Person Specification
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