PhD Studentship: Design Optimization in the Presence of Topological Variations

United Kingdom
Apr 06, 2016
Apr 03, 2017
Organization Type
University and College
Full Time

PhD Studentship: Design Optimization in the Presence of Topological Variations

Computational Engineering & Design Group

Location:  Highfield Campus
Closing Date:   Monday 03 April 2017
Reference:  715916AK

Project Reference: AACE-CED-118

Project Themes:  Computational Engineering

Engineering design optimisation problems employing expensive simulations typically focus on the optimization of a set of real numbers defining geometric parameters, such as thicknesses, heights or spline control points, of a fixed topology. The topology is typically fixed from either previous experience or as a result of a low fidelity conceptual design study and may therefore lead to a sub-optimal design. In order to achieve the best performing design both the topology and the sizing parameters defining that topology should be varied simultaneously. The following PhD studentship, fully funded by Rolls-Royce Plc., aims to counter these issues by developing schemes for the efficient optimisation of engineering systems in the presence of topological variations. The successful candidate should have a 1st class engineering or applied mathematics degree, ideally with experience of one or more of design optimisation algorithms, programming and structural design.

If you wish to discuss any details of the project informally, please contact Dr. David Toal, Computational Engineering & Design Group, Email:, Tel: +44 (0) 2380 59 7662.

To apply please use the following link and select Faculty of Engineering and the Environment.

Further details:

  • Job Description and Person Specification

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