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PhD Studentship - A Novel Artificial Intelligent Technique for the Design of Vehicle Electrical Systems

Bournemouth University - Faculty of Science and Technology

Qualification Type: PhD
Location: Bournemouth
Funding for: UK Students, EU Students, International Students
Funding amount: £15,225 Maintenance grant per annum
Hours: Full Time
Placed On: 13th March 2020
Closes: 11th May 2020

Lead Supervisor name: Dr. Simant Prakoonwit

Project description:

The project is jointly funded by Bournemouth University and a Siemens' company, Mentor Graphics. Siemens is a leader in this field globally. The successful candidate will be working closely with the company.

Vehicle electrical wire harness system design has increasingly become an essential and valuable part of the automotive industry. It is even more significant for electric vehicles and autonomous self-driving cars. Currently, the wiring harness is the third highest cost component in a car and the third heaviest component. The automotive wiring harness market, by value, is projected to grow to USD 55.4 billion by 2027 from USD 43.3 billion in 2019. Apart from sophisticated vehicle intelligent control and driver assistant system, rising adoption of electric vehicles (EVs) is another significant trend proliferating market growth.

Traditionally the design of vehicle electrical systems has been done using classic 2D CAD applications and the manual or semi-manual authoring of wiring schematic diagrams. However, designing a vehicle electrical system has become extremely complicated, time-consuming and expensive and in some cases, impossible to do it manually. Some modern vehicles contain close to 40 different harnesses, over 3000 wires and 700 connectors. If put into a continuous line, those wires would surpass a length of 4km and weigh approximately 60kg. In addition, there can be more than 70 different specific types of cables, such as high-speed data cables, coax cables, and USB cables. In addition, there are other factors which can affect the performance of the system to be considered, e.g. electromagnetic interference, crosstalk, and signal attenuation. It is difficult or even impossible for the task to be done manually.

What does the funded studentship include?

Funded candidates will receive a maintenance grant of £15,225 per annum (unless otherwise specified), to cover their living expenses and have their fees waived for 36 months. In addition, research costs, including field work and conference attendance, will be met.

Funded Studentships are open to both UK/EU and International students unless otherwise specified.

Eligibility criteria

Candidates for a PhD Studentship should demonstrate outstanding qualities and be motivated to complete a PhD in 4 years and must demonstrate:

  • Outstanding academic potential as measured normally by either a 1st class honours degree (or equivalent Grade Point Average (GPA) or a Master’s degree with distinction or equivalent
  • An IELTS (Academic) score of 6.5 minimum (with a minimum 6.0 in each component, or equivalent) for candidates for whom English is not their first language and this must be evidenced at point of application.

In addition to satisfying basic entry criteria, BU will look closely at the qualities, skills and background of each candidate and what they can bring to their chosen research project in order to ensure successful and timely completion.

Closing date: The first call for applications will close on 11 May 2020.

For further information on how to apply click the ‘Apply’ button below or email pgradmissions@bournemouth.ac.uk

Apply now: https://www.bournemouth.ac.uk/study/courses/phd-studentship-novel-artificial-intelligent-technique-design-vehicle-electrical-systems?utm_source=jobs.ac.uk&utm_medium=listing&utm_campaign=studentships2020&utm_content=Fully funded PhD and MRes studentships

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