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Xi’an Jiaotong-Liverpool University

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PhD in Intelligent Scene Generation and Simulation Verification for Autonomous Driving Xi’an Jiaotong-Liverpool University in China

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

China

University

Xi’an Jiaotong-Liverpool University

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Keywords

Computer Science
Electrical Engineering
Information Technology
Mathematics
Digital Twin Technology
Autonomous Vehicle

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About this position

PhD opportunity in Intelligent Scene Generation and Simulation Verification for Autonomous Driving at Xi’an Jiaotong-Liverpool University (XJTLU), School of Advanced Technology, with supervision by Dr Dongyao Jia and co-supervisors Dr Along Jin, Dr Meng Fang (University of Liverpool), and Dr Haitao He (Loughborough University).

This project focuses on autonomous driving, intelligent scene generation, simulation verification, foundation models, generative AI, world models, digital twin technologies, and cross-domain scenario adaptation. The research aims to generate realistic, diverse, and critical traffic testing scenarios from real-world traffic data and to build a generalizable framework for safety validation and performance evaluation of autonomous driving systems.

Funding: This is a funded PhD studentship for three years. It covers tuition fees for three years, includes up to RMB 16,500 for international conference participation, and may offer RA/TA subsidy depending on performance. The main research location is Suzhou, China, with possible short-term research visits to the University of Liverpool.

Eligibility: Applicants should have a Master’s degree with Merit and a Bachelor’s degree with first-class or upper second-class honors. Strong spoken and written English is required; IELTS 6.5 or equivalent is expected if English is not the first language.

How to apply: Email the principal supervisor with the project title in the subject line and include your CV, two reference letters, personal statement, English language certificate, transcripts, education qualification certificates, and a dissertation/writing sample if available. The project is open to qualified candidates of any nationality and applications are accepted all year round.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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