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We have 11 Computer Science (electric vehicle) PhD Projects, Programmes & Scholarships

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Computer Science (electric vehicle) PhD Projects, Programmes & Scholarships

We have 11 Computer Science (electric vehicle) PhD Projects, Programmes & Scholarships

Artificial Intelligence based Electric Vehicle Motor Design

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

Cyber Incident-Response of Electric Vehicle Infrastructure [Self-Funded Students Only]

Context. Advanced cyber-attacks can massively disrupt the physical systems such electric vehicle (EV) infrastructure. It is not always possible to protect the system against potential threats and the available detection capabilities may not be enough. 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

Cyber Resiliency of Electric Vehicle Infrastructure [Self-Funded Students Only]

Cyber resiliency is one of the key requirements for constantly fighting against cyber-attacks on critical infrastructure. Research community as well as industry have realised that providing cyber resiliency is one of the key challenges as of now. Read more

Estimate Cyber Risks for Electric Vehicle Infrastructure [Self-Funded Students Only]

Context. Currently there is an urgent need for a sustainable digital route to zero-carbon road transport by facilitating low-carbon charging of electric vehicles (EVs) to meet the 2030 target to ban all new petrol and diesel cars, and 2050 Net-Zero. Read more

PhD in Thermal route optimization of predictive controls to improve BEV efficiency using AI & ML

Route information has significantly improved the optimization of hybrid vehicle propulsion by determining the most efficient power source for different parts of a journey. Read more
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