Join Us

Openings

Openings

We regularly have multiple openings for Postdoc/PhD/MPhil/RA/Internships (all year round) to work on research related to AI-driven trustworthy autonomous systems, with a focus on end-to-end autonomous UAVs and end-to-end self-driving cars. If you are a PolyU student (Undergraduate and MSc students seeking URIS or dissertation supervision) interested in working with me, feel free to drop me an email at welson.wen@polyu.edu.hk (together with your transcript and brief introduction) or walk into my office at room R820!

Postdoc/RA Positions (Regular Quotas)

Research areas include:

• Large AI models for autonomous systems
• Foundation models for robotics
• End-to-end learning for UAVs and self-driving cars
• AI-enabled perception and control
• Multimodal sensor fusion (LiDAR/Camera/IMU/GNSS)
• Trustworthy AI for navigation and control
• Vision-language models for drone perception
• Deep reinforcement learning for UAV navigation
• Semantic-aided positioning
• Hardware-software co-design for next-generation navigation chips
• Urban GNSS positioning (RTK, PPP, PPP-RTK)
• Multi-agent collaborative positioning and control
• Safety-certified AI systems

Application requirements: For those interested, please send us your CV, representative publications list, and research statement/proposal to welson.wen@polyu.edu.hk. (We will reply to you within one week if you are shortlisted for an interview).

For any candidate, you MUST have at least one of the following:

1. A strong publication record in top-tier AI/robotics venues (e.g., NeurIPS, ICML, ICRA, IROS, CoRL, CVPR, ICCV); OR
2. Strong capabilities in coding (proficient in C++ and/or Python, experience with PyTorch/TensorFlow/ROS); OR
3. Strong capabilities in preparing competitive research proposals and securing funding.

PhD/MPhil Topics (Regular Quotas)

Core research themes:

• End-to-end learning for autonomous UAVs and self-driving cars
• Safety-certifiable AI for perception, positioning, and control
• Foundation models and large vision-language models for robotics
• Multimodal learning for autonomous systems
• AI-driven multi-sensor fusion and navigation
• Deep reinforcement learning for UAV swarm coordination
• Trustworthy AI for safety-critical applications

For more specific topics we are working on, please refer to our TAS Lab website and project page.

Application requirements: For those interested, please send us your CV, representative publications list (if any), and a brief research proposal/statement of research interests to welson.wen@polyu.edu.hk. (We will reply to you within one week if you are shortlisted for an interview).

What We Offer

• Access to cutting-edge UAV platforms, self-driving car testbeds, and GPU computing clusters
• Collaboration with leading industry partners (Huawei, Tencent, Meituan, HONOR)
• Opportunities to publish in top AI/robotics conferences and journals
• A vibrant, diverse, and inclusive research environment with 30+ lab members
• Funding support for conference travel and research equipment

Application materials: CV + Publications/Coding portfolio + Research statement → welson.wen@polyu.edu.hk