PhD Positions in Reinforcement Learning for Autonomous Racing and Procedural Content Generation
We are seeking two highly motivated PhD candidates to start in Fall 2026 to conduct research in Reinforcement Learning (RL) for Autonomous Racing and Procedural Content Generation (PCG). The successful candidates will join our research group and benefit from an active collaboration with our industry partners who supply high-performance direct drive wheels pedals and real-world racing data.
Start: September 2026
Location: Lingnan University (Hong Kong SAR)
Position available: two
Application deadline (university level): 1 December 2025
Requirements:
- Academic background: A Master's degree (MS) in Computer Science, Data Science, Electrical Engineering, or a closely related field
- Research Expertise: Strong theoretical and practical background in one or more of the following areas: RL, PCG and Autonomous Driving
- Excellent writing, communication, and teamwork skills
- Language Proficiency: Reading and writing proficiency in Chinese is strongly preferred for effective collaboration and communication with local industry partners
- A solid publication record would be a plus
Support & Benefits:
-
Hong Kong PhD Fellowship: The monthly stipend for 2025-26 is HK$28,400 (subject to annual review), thus approximately US$3,650.
- Additional benefits include support to conference travel
To apply:
- Send a CV and publication record to Dr. Jialin LIU (
jiali...@ln.edu.hk) to discuss the project and details about the application process.