Computer Science: Fully Funded PhD Studentship in High Performance RISC-V-BASED Automotive AI PlatformComputer Science: Fully Funded PhD Studentship in High Performance RISC-V-BASED Automotive AI Platform

System-on-Chip (SOC) Technologies provide an opportunity to underpin a number of capabilities for AI and related capabilities on platforms. This research, within the context of automotive systems, explores opportunities to design a high-performance RISC-V-based platform to support analytics and AI applications. Part of this research, aspects of cybersecurity for data collection and processing would also be explored. The research methods would range over modelling, design and system-level validation using SOC techniques established by Siemens EDA. Validation criteria would factor in design requirements along with vertical integration features that such platforms would have to interface with in automotive applications.  

Funding Details

This scholarship covers the full cost of tuition fees and an annual stipend at UKRI rate (currently £20,780 for 2024/25) plus minimum additional top up of £2,000 per year.

Additional research expenses of up to £1,000 per year will also be available.

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