Job offer in england Measuring the Productivity Benefits of Efficient CAD Models at Loughborough University



Application details:

Start date of studentship: 1st October 2019

Interview date: TBC

Supervisors:

Primary supervisor: Dr Ian J Graham

Loughborough University is a top-ten rated university in England for research intensity (REF2014). 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 Doctoral College, including tailored careers advice, to help you succeed in your research and future career.

Find out more: http://www.lboro.ac.uk/study/postgraduate/supporting-you/research/

Advances towards cyber-physical systems and virtual prototyping place more reliance on CAD models than ever before. While many projects aim to improve CAD model quality, we also think it is crucial that parts are modelled at the optimum efficiency.

Our current research continues to identify and quantify inefficiencies within industrial parametric CAD models. The PhD will complement and overlap with this research and will focus on data acquisition and processing. It will form the bridge to industrial application, informing decisions by CAD managers, and lead to improved efficiency and productivity.

Aiming to widen the impact of our recent discoveries in CAD model efficiency, this PhD will investigate user interactions with CAD parts throughout the product development process at levels of detail not attempted before. Knowing the nature of operations carried out by users over the life of a CAD part will enable predictions of efficiency benefits in real-world scenarios to be quantified, based on our novel model-efficiency metrics.

Working alongside the research theme founder, currently supported in his work by Triumph Motorcycles, will provide valuable teamworking and knowledge transfer opportunities.

Find out more:  https://dspace.lboro.ac.uk/dspace-jspui/handle/2134/36155

Entry requirements:

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Computer Science, Engineering, or a related subject. The project spans analytics and CAD, thus we encourage applications from computer scientists who are interested in building their knowledge of the CAD and engineering domains, and from engineers with programming and data analysis skills.

Funding information:

Please note that studentships will be awarded on a competitive basis to applicants who have applied to this project and other advertised projects starting with advert reference ‘WS’ for the School of Mechanical, Electrical and Manufacturing Engineering.

If awarded, each 3-year studentship will provide tuition fees at the UK/EU rate and a tax-free stipend at the UK Research and Innovation rate. The UKRI stipend value for 2019/20 has not yet been announced but the value for 2018/19 was £14,777. While we welcome applications from non-EU nationals, please be advised that it will only be possible to fund the tuition fees at the international rate and no stipend will be available. Successful candidates will be notified by 26th March 2019.

Contact details:

Name: Dr Ian J Graham

Email address: i.j.graham@lboro.ac.uk

Telephone number: +44 1509 227500

How to apply:

All applications should be made online at http://www.lboro.ac.uk/study/apply/research/.  Under programme name, select ‘Mechanical and Manufacturing Engineering’.

Please quote reference number: WS07

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