PhD Studentship: High Performance Optimisation through Machine Augmented Intelligence
Physical and Environmental Sciences,Physics and Astronomy,Mathematics and Statistics,Mathematics,Computer Science,Computer Science,Engineering and Technology,Mechanical Engineering,Electrical and Electronic Engineering
Short info about job
Company: Loughborough University
Hours: Full Time
Type / Role: PhD
Phone: +44-1328 4324737
Fax: +44-1326 8906860
Detail information about job PhD Studentship: High Performance Optimisation through Machine Augmented Intelligence. Terms and conditions vacancy
Start date: 01 January 2018
Closing date: 13 October 2017
Interview date: TBA
Primary supervisor: Dr Byron Mason
Loughborough University is a top-ten rated university in England for research intensity (REF2014) and an outstanding 66% of the work of Loughborough’s academic staff who were eligible to be submitted to the REF was judged as ‘world-leading’ or ‘internationally excellent’, compared to a national average figure of 43%.
In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Graduate School, including tailored careers advice, to help you succeed in your research and future career.
Find out more: www.lboro.ac.uk/study/postgraduate/supporting-you/research
Joining one of the largest University based automotive propulsion research groups in the world, this project is an exciting opportunity to contribute to the development of methodology for optimisation of complex large-scale systems using performance computing and machine intelligence. You will be responsible for developing methodology that facilitates exploration of the design space using machine supported augmented intelligence. The ultimate aim is a hybridisation of human and machine ‘intelligence’ in order to achieve optimal design of large scale dynamic systems.
You will have access to national scale high performance computing facility and the support of experienced researchers and practitioners in the field.
Find out more:
For further project details contact Dr Byron Mason, [email protected]
Applicants should have a First Class Honours degree (or equivalent) in Engineering, Mathematics, Physics or a related subject.
Experience of multi-scale (or multi-domain) simulation and/or performance computing is desirable though not absolutely necessary.
Candidates should have good communication and team working skills.
The studentship provides a tax free stipend of £17,500 to £21,000 per annum (contingent on experience) for three years, plus tuition fees at the UK/EU rate. International (non EU) students may apply, however the total value of the studentship will be used towards the cost of the International tuition fee in the first instance.
How to apply:
All applications should be made online at www.lboro.ac.uk/study/apply/research. Under programme name, select ‘Aeronautical and Automotive Engineering’
Please quote reference number: AAE-BM-1722