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  PhD in Cooperative Autonomous Driving for Connected Intelligent Vehicles

   Department of Computer Science

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  Dr Junyan Hu  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

The UCL Department of Computer Science is a global leader in experimental computer science research. The Research Excellence Framework (REF), which assesses the quality of research in UK higher education institutes, ranked us top in its most recent evaluation, with 96% of our research as internationally excellent and 61% found to be world-leading. Our approach emphasises methodological rigour and reducibility, determining our strategy and underpinning our research education.

Autonomous driving of intelligent vehicles has attracted significant attention in recent years due to its ability to reduce traffic congestion problems, improve traffic throughput and enhance safety of highway traffic. The primary objective of this PhD project is to develop advanced vehicle navigation strategies based on machine learning, communication networks, and cooperative control techniques. The proposed results will be applied to intelligent transportation systems and the Internet-of-Things.

Start Date: As soon as possible, no later than November 2023. 

Closing Date: None (the position will remain open until a suitable candidate is found).

Person specification: The candidate should meet the entry requirements detailed here: for PhD programmes at UCL CS. The candidate should have (or close to obtaining) a Master degree in Computer Science, Electrical and Electronic Engineering, Automotive Engineering, or a related field, with at least an upper second-class honours degree (2:1 or equivalent qualification). They should also have strong interests and backgrounds in robotics, artificial intelligence, control systems, or mechatronics.

How to apply: In the first instance please email your CV, a cover letter explaining why you think you are a suitable candidate for the post and transcripts to Dr. Junyan Hu ([Email Address Removed])

Computer Science (8) Engineering (12)

Funding Notes

Full scholarship for Home students only. Self-funded international students are also encouraged to apply.
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