Overview
Lingnan University in Hong Kong is offering two PhD positions focused on Reinforcement Learning (RL) for Autonomous Racing and Procedural Content Generation (PCG). These roles are set to commence in September 2026 and present a unique opportunity for candidates to engage in cutting-edge research while collaborating with industry partners.
Background & Relevance
Reinforcement Learning is a pivotal area in artificial intelligence, particularly in applications such as autonomous driving and game development. The integration of RL with procedural content generation allows for the creation of dynamic environments and challenges, enhancing the realism and engagement of simulations in racing contexts. This research is not only significant for academic advancement but also has practical implications in the automotive and gaming industries.
Key Details
- Start Date: September 2026
- Location: Lingnan University, Hong Kong SAR
- Positions Available: Two
- Application Deadline: 1 December 2025
Eligibility & Participation
Candidates with a Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related field are encouraged to apply. Ideal applicants should possess a robust theoretical and practical foundation in RL, PCG, and autonomous driving. Proficiency in Chinese is preferred to facilitate effective communication with local industry partners.
Submission or Application Guidelines
To apply, interested candidates should:
– Send a CV and publication record to Dr. Jialin Liu at jialin.liu@ln.edu.hk to discuss the project and application details.
– Refer to the university’s application portal for full submission guidelines: Application for Admission.
Additional Context / Real-World Relevance
The convergence of reinforcement learning and autonomous systems is reshaping various sectors, including transportation and entertainment. By pursuing research in this area, candidates will contribute to advancements that could lead to safer and more efficient autonomous vehicles, as well as innovative gaming experiences. This opportunity at Lingnan University not only supports academic growth but also aligns with industry needs, making it a valuable career step for aspiring researchers.
Conclusion
This is an exciting chance for motivated individuals to delve into the realms of reinforcement learning and procedural content generation. Interested applicants are encouraged to explore this opportunity, apply, and contribute to the future of autonomous technologies.
Category: PhD & Postdoc Positions
Tags: reinforcement learning, autonomous racing, procedural content generation, hong kong, lingnan university, machine learning, data science, computer science
