PhD Studentship: Intelligent Human-Machine Interaction for Engineering Design
- Employer
- Global Academy Jobs
- Location
- United Kingdom
- Closing date
- Jun 30, 2019
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- Sector
- Science, Computer Science and IT, Computer Science, Chemistry, Chemical Engineering
- Hours
- Full Time
- Organization Type
- University and College
- Jobseeker Type
- Academic (e.g. 'Lecturer')
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Job Details
Project Description
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.
If you wish to discuss any details of the project informally, please contact Prof Andy Keane, Computational Engineering and Design Research Group, Email: ajk@soton.ac.uk , Tel: +44 (0) 2380 59 2944.
Funding and Eligibility
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. The studentship covers UK/EU level fees. In addition to the basic tax free student stipend of £15,009 pa, R-R will provide a further tax free stipend increment of £9,000 pa. The stipend will rise in subsequent years. Funding for travel to international conferences will be available.
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.
If you wish to discuss any details of the project informally, please contact Prof Andy Keane, Computational Engineering and Design Research Group, Email: ajk@soton.ac.uk , Tel: +44 (0) 2380 59 2944.
Funding and Eligibility
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. The studentship covers UK/EU level fees. In addition to the basic tax free student stipend of £15,009 pa, R-R will provide a further tax free stipend increment of £9,000 pa. The stipend will rise in subsequent years. Funding for travel to international conferences will be available.
Company
Global Academy Jobs works with over 250 universities worldwide to promote academic mobility and international research collaboration. Global problems need international solutions. Our jobs board and emails reach the academics and researchers who can help.
"The globalisation of higher education continues apace, driving in turn the ongoing development of the global knowledge economy, striving for solutions to the world’s problems and educating a next generation of leaders and contributors."
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