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vehicle PhD Projects, Programmes & Scholarships
We have 108 vehicle PhD Projects, Programmes & Scholarships
Investigating the Impact of Vehicle Emissions on Urban Air Quality and Mitigation Strategies (Ref: AACME-24-024)
Vehicular emissions are one of the leading sources of air pollution, particularly in urban areas. With rapid urbanization and increasing vehicular use, cities around the world face deteriorating air quality, contributing to adverse health effects and environmental degradation. Read more
Factors controlling near-road exposure to traffic-related air pollutants
For decades, road vehicles have had a considerable impact on urban air pollution and the wider environment. Read more
An Electric Vehicle and Electric Vehicle Charging Station Incident Response Playbook
In the rapidly evolving realm of electric vehicle technology, safeguarding the cybersecurity of both electric vehicles and their charging infrastructure has become fundamental. Read more
Active noise control of automotive tyres using ultrasonic parametric arrays (Ref: AACME-24-023)
Automotive vehicles are becoming heavier with wider tyres to support this weight. Above a speed of around 30 miles per hour, the noise produced by the tyres is the dominant source. Read more
C4-MAC-Khan - Revolutionising Electric Vehicle (EV) lubrication with a single lubricating and cooling fluid
The UK is committed to a target of net zero emissions by 2050 and with passenger cars accounting for 109M tonnes of carbon emissions a year, there is a proposed a ban on the sale of all polluting vehicles by 2035. Read more
Unmanned aerial vehicle thrust optimization with ducted propeller in various flight modes
A clear resurgence in ducted fan research in recent years can be noticed due to the growing interest in UAV/MAV (Unmanned/Micro Aerial Vehicle), PAV (Personal Aerial Vehicle) and electric propulsion. Read more
NERC RED-ALERT CDT: Quantifying Vehicle-Derived Microplastics in the Environment: Sources, Sinks, and Water Quality Impact.
This project is one of a number that are in competition for funding from the Red-ALERT CDT, hosted by Bangor University for entry in September 2025. Read more
Security of Electric Vehicle Charging Infrastructure
The rise of Electric Vehicles (EVs) drives an increase in demand and rapid development of the charging infrastructure, where a charger interconnects with an EV and a charging provider as well as a site controller to authorise charging sessions and report any errors. Read more
Artificial Intelligence based Electric Vehicle Motor Design
Research Group:
Intelligent Systems and Robotics
Electric vehicle development has been a hot topic around the world. This PhD programme will develop artificial intelligence based computational tools to accelerate electric vehicle motor design and optimization process. Read more
Efficient and Robust Deep Learning based Perception for Autonomous Driving and Robotics
Today, autonomous vehicle and robotics research is a continuously evolving field and spanning all areas of AI autonomy, including perception, behaviour prediction, motion planning, explainability and safety critical AI systems. Read more
Standards to specify damping and loss factor in joint connections through ultrasonic inspection techniques where temperature and humidity in real world conditions are important (Ref: AACME-24-032)
Finite element models are used to predict the vibration characteristics of aircraft and automotive vehicles. A large and complex model can be generated to determine the level of vibration which can be transmitted from one area to another. Read more
Last chance to apply
Next generation aircraft certification and testbed legal basis - PhD studentship
The project aims to design a blended wing body aircraft subscale demonstrator aircraft with particular focus on the low-speed aerodynamics. Read more
Security and Privacy in Vehicular Ad-hoc Networks
The great leap forward in wireless communications technology drives the recent advancements of Vehicular Ad hoc NETworks (VANETs). Read more
I thought you were driving! Human-automation teaming in future vehicles
Supervisory Team: Prof Mark Young, Dr Rich McIlroy, Dr Katie Plant. PhD Supervisor: Mark Young. Project description. Read more
Real-Time Brain Injury Prediction and Protection Framework for Intelligent Vehicles
The advancement of intelligent vehicles (IVs) has significantly improved their collision avoidance capabilities under normal driving conditions, yet the complete prevention of accidents remains elusive. Read more