Research Fellow
6 months ago
Key Responsibilities:
- Enhance robotic arm decision-making using ROS/ROS2 and sensor-driven feedback.
- Develop a reinforcement learning framework for precise Soft Gripper and Robotic Arm interaction.
- Leverage Gazebo simulation for performance analysis of robotic arm and soft gripper and algorithm validation.
- Mentor and guide student research projects.
- Publish findings in leading journals and conferences.
Job Requirements:
- PhD in Computer/Electrical/Mechatronics Engineering or related field.
- Expertise in computer vision, ROS/ROS2, Gazebo simulation, and Soft Gripper and Robotic Arm control.
- Proficient in C, C++, Python, Git, and Linux.
- Knowledge of IoT, sensor fusion, and 3D-printing techniques is a plus.
- Hands-on experience with industrial robots or autonomous vehicles preferred.
- Excellent problem-solving and communication skills.
- Proven track record of impactful publications.
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU
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