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, providing an exciting opportunity for candidates to engage in innovative research within a collaborative environment that includes industry partnerships.
Background & Relevance
Reinforcement Learning is a pivotal area in artificial intelligence, particularly in applications such as autonomous systems and gaming. The intersection of RL with autonomous racing presents unique challenges and opportunities for research, especially in developing algorithms that can adapt and optimize performance in dynamic environments. Procedural Content Generation further enhances this field by enabling the creation of diverse and complex racing scenarios, making it a significant area of study in both academia and industry.
Key Details
- Start Date: September 2026
- Location: Lingnan University, Hong Kong SAR
- Number of Positions: Two
- Application Deadline: 1 December 2025
Eligibility & Participation
Candidates interested in these PhD positions should hold a Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related discipline. A strong background in RL, PCG, or Autonomous Driving is essential, along with excellent communication and teamwork skills. Proficiency in Chinese is preferred for effective collaboration with local industry partners, and a solid publication record will be advantageous.
Submission or Application Guidelines
To apply for these PhD positions, candidates should:
1. Prepare a CV and a record of publications.
2. Contact Dr. Jialin Liu at jialin.liu@ln.edu.hk to discuss the project and application details.
3. Follow the instructions at Lingnan University Application Process for submitting the full application.
More Information
The research conducted in these PhD positions will contribute significantly to the fields of machine learning and autonomous systems. As RL continues to evolve, its applications in real-world scenarios like racing and gaming will become increasingly relevant, making this opportunity not only timely but also impactful within the broader AI landscape.
Conclusion
This is a compelling opportunity for aspiring researchers in the field of AI and machine learning. Interested candidates are encouraged to explore this chance to contribute to cutting-edge research at Lingnan University. Applications are now open, and potential candidates should prepare their materials promptly to meet the upcoming deadline.
Category: PhD & Postdoc Positions
Tags: reinforcement learning, autonomous racing, procedural content generation, hong kong, lingnan university, computer science, data science, electrical engineering, phd fellowship, machine learning
