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PhD Studentship: Optimal Fail-Safe Sensor Configurations for Cloud-Based Vehicle State Estimation and Control Systems

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  • Full or part time
    Dr S Fallah
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

About This PhD Project

Project Description

The Surrey’s Automotive Engineering Research Group (AERG) in the Department of Mechanical Engineering Sciences (MES), is offering a PhD scholarship, funded by ESPRC and Jaguar Land Rover. The funding will cover home fees and normal EPSRC stipend (currently £14000/year). All students may apply for this research project, but the full funding is guaranteed for UK and EU students. The start date of the project is October 2016.

The PhD research activity is related to development of Cloud-based Fault-Tolerant Vehicle States Estimation and Control Systems using Data Fusion of On-board Vehicle Sensors and External Digital Sources.

Surrey’s Automotive Engineering Research Group (AERG) has a diverse portfolio of nationally and internationally funded research projects in collaboration with well-respected European automotive companies such as Jaguar Land Rover, Skoda, Fiat and McLaren. AERG aims to provide world class technical research in the following key areas: autonomous vehicles, intelligent vehicles, vehicles dynamics and control, vehicle state estimation and prediction. At departmental level, the Department of Mechanical Engineering Sciences offers a collaborative and successful research environment.

Applicant criteria

Applicants have to satisfy the standard university eligibility criteria and should have a good Master’s degree (equivalent of first-class distinction). Background in area of vehicle state estimation and control is asset. Experience with IPG CarMaker, C++, and dSPACE would also be a plus.

Application

Please send a cover letter explaining your interest in and qualifications for the project, a CV, and the names and contact details of two references. Applications should be sent by e-mail to Dr Saber Fallah ([Email Address Removed]) by 03 May 2016. Informal enquires are welcome and should be made to Dr Saber Fallah.

Shortlisted applicants will be contacted directly to arrange a suitable time for an interview. The position will remain open until a suitable candidate is found.



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