PhD Studentship in Analysis of Advanced Automotive Exhaust Systems
Deadline
2016-02-22
Value of Scholarship
Loughborough
Level of Study
Country Tenable
Renewable
No
PhD Studentship in Analysis of Advanced Automotive Exhaust Systems

Fully Funded PhD Studentship co-sponsored by RedArch Manufacturing

Analysis of Advanced Automotive Exhaust Systems

The EPSRC Centre for Doctoral Training in Embedded Intelligence at Loughborough University is offering a fully-funded PhD studentship to UK/EU applicants.

The Studentship is open to all eligible UK/EU and international/overseas students. It will run for 4 years and it includes:

  • A fee waiver equivalent to the home/EU rate*
  • An enhanced EPSRC tax-free stipend of up to £18,000 p.a. for four years.
  • A personal training budget of £10,000 to support specific training needs.

* Please note that non UK/EU domiciled students will be required to find funding to cover the difference between home/EU fees. All non-UK applicants must meet the minimum English language requirements, details available on the website.

Noise, Vibration and Harshness (NVH) refinement and enhanced efficiency and durability are three main design objectives in modern automotive engineering.

For exhaust system applications it is required to undertake a multi-physics approach comprising Finite Element Analysis (FEA) for thermal and modal structural analysis, Computational Fluid Dynamics (CFD) and Acoustic coupling. This is a comprehensive approach and a unique opportunity to work with RedArch Manufacturing Ltd.; a manufacturer of advanced exhaust systems for high performance vehicles. RedArch Manufacturing Ltd. and the Engineering and Physical Science council’s Doctoral Centre for Embedded Intelligence co-sponsor these research undertakings.

Applicants should

  • Have a first class honours or good upper second class degree in Mechanical or Automotive Engineering.
  • Have an understanding and experience of Fluid Mechanics and Structural Dynamics.
  • Demonstrate a keen interest in Numerical analysis and Experimental validation.
  • Experience of Numerical Analysis and FEA/CFD software is desirable.
  • Meet the minimum English Language requirements, details available on the website
  • Satisfy the UK/EU residency requirement

How to Apply
Applications should be made online at http://www.lboro.ac.uk/study/apply/research/. A list of the required documentation can be found here. Please select "CDT Embedded Intelligence MME" under Programme Selection and quote reference CDTEI16WS2 under Research Interests.

Embedded Intelligence is the integration of intelligence into products, processes and services so they work better and can increase productivity, efficiency and connectivity. It is underpinned by diverse areas of expertise (engineering, chemistry, biology, materials, design and computer science).

We offer a unique 4 year full-time programme which enables students to develop their research skills whilst working with industrial partners. Research training is also complemented by non-technical subjects e.g. leadership, enterprise and social responsibility. Our researchers will be at the forefront of the latest developments in Embedded Intelligence and be supported by over 45 academic members of staff and industry specialists in this field.

Closing date 22nd February 2016

Informal enquires about the research project should be made to Dr Ramin Rahmani (Email: r.rahmani@lboro.ac.uk, Tel: +44 (0) 1509 227686) Enquiries about the application process and CDT programme can be made to cdt-ei@lboro.ac.uk or visit the website www.cdt-ei.org.

For answers to frequently asked questions about the CDT, visit the website. 


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