|Funding for:||UK Students, EU Students|
|Placed On:||15th February 2020|
|Closes:||31st August 2020|
Supervisor: Dr. D.J.J. Toal
Co-supervisor Prof. A.J. Keane
How will the future design engineer interact with their computer systems? Speaking to the computer? Virtual Reality? Automatic storage of design rules/styles, which the designer assembles? Real time CFD to permit ‘sculpting’ the flow field, stress field, etc.? This project will examine the use of machine learning and artificial intelligence to support hint based creation of new parts and products. It will incorporate value driven design ideas with state of the art optimization and analysis automation to accelerate the new product design process while also allowing automated documentation of the decisions lying behind design choices.
Combined with the latest GPU hardware, Deep Learning, Data Mining and AI methods this will allow advanced designer – machine interaction, providing insights into the next generation of engineering design software.
This project is funded by Rolls-Royce plc as part of their support to the R-R University technology Centre for Computational Engineering at Southampton. In addition to the basic tax free student stipend of £15,141 pa, R-R will provide a further tax free stipend increment of £9,000 pa and therefore in line with their graduate recruitment schemes. The stipend will rise in subsequent years. Funding for travel to international conferences will be available.
If you wish to discuss any details of the project informally, please contact Prof Andy Keane, Computational Engineering and Design Research Group, Email: email@example.com, Tel: +44 (0) 2380 59 2944.
A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent).
Closing date: applications should be received no later than 31 August 2020 for standard admissions, but later applications may be considered depending on the funds remaining in place.
Funding: full tuition plus, for UK students, an enhanced stipend of £15,009 tax-free per annum for up to 3.5 years.
How To Apply
Applications should be made online here selecting “PhD (Full time)” as the programme. Please enter David Toal under the proposed supervisor.
Applications should include:
For further information please contact: firstname.lastname@example.org
Type / Role: