PhD/Postdoc Positions
We are always looking for highly-motivated candidates who are interested in developing intelligent vision and control techniques to enhance the intelligence and autonomy of robots including UAVs.
- Topics:
We are interested in topics that are essential to enhancing the intelligence of robots, which include but are not limited to:

Deep Learning and Deep Reinforcement Learning-based Navigation for robots and UAVs
- Deep learning-based scene understanding, object detection and tracking, Large Language Models (LLM)
- Deep reinforcement learning-based control and navigation.

Vision-based navigation and control for Robotics
- Vision-based motion planning and obstacle avoidance
- Vision-based object detection and tracking

Swarm robotics
- Cooperative SLAM, cooperative control and multi-robot obstacle avoidance for a swarm of robots.
- Multi-agent reinforcement learning

Visual Odometry and SLAM for robots
- Event-based, vision-based or lidar-based visual odometry
- Event-based, vision-based or lidar-based mapping

Soft and continuum robots
- Dynamic control and grasping of soft/continuum arms

- Requirements:
The candidate is expected to have a Master's Degree for applying for a PhD or Doctor's Degree for applying for a postdoc position. He/she should have a relevant research background (Learning, UAV, robotics) and programming skills with C/C++, python and ROS. Experience with drone/robotics development skills such as ROS/Gazebo, OpenCV, and PX4/Issac Gym is a plus.

- How to apply:
Please email your CV, a PPT file that describes your research experience in detail, and academic transcripts to Dr. Peng Lu (lupeng@hku.hk), quoting [PhD/Postdoc Application]+[your name] in the email subject.