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  AI-based vehicle dynamics controllers and observers for off-road autonomous driving


   Faculty of Engineering and Physical Sciences

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  Dr Davide Tavernini  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

The project aims at exploring novel algorithms for controlling the dynamic behaviour of autonomous vehicles suitable for both on-road and off-road conditions, with specific focus on the latter.

Studentship group name

Autonomous Robotics and Vehicles

Department/School

School of Mechanical Engineering Sciences

Research group(s)

Automotive Engineering

Project Description

The project aims at exploring novel control/estimation strategies for autonomous vehicles suitable for both on-road and off-road conditions, with specific focus on the latter. The control is performed by means of next generation actuators (e.g., electric in-wheel motors, active suspensions, brake-by-wire, etc.). Techniques based on or including elements of Artificial Intelligence (AI) are explored. The challenge is to design strategies that will be reliable and high-performing for different harsh road conditions, including various off-road terrains. 

The candidates should apply online to the Automotive Engineering PhD programme and they are encouraged to contact Dr Davide Tavernini ([Email Address Removed]) before submitting their applications.

How to Apply

Open to UK and International students starting in October 2023.

Applications should be submitted via the Automotive Engineering PhD programme page. In place of a research proposal you should upload a document stating the title of the projects (up to 2) that you wish to apply for and the name(s) of the relevant supervisor. You must upload your full CV and any transcripts of previous academic qualifications. You should enter ’Faculty Funded Competition’ under funding type.

Funding

The studentship will provide a stipend at UKRI rates (currently £17,668 for 2022/23) and tuition fees for 3.5 years. An additional bursary of £1700 per annum for the duration of the studentship will be offered to exceptional candidates.


Computer Science (8) Engineering (12)
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 About the Project