Research Engineer II (Physical AI)

About the role

The School of Mechanical & Aerospace Engineering at NTU is looking for a Research Engineer to carry out research and software/hardware development on robotic systems operating under uncertainty. The role focuses on designing, implementing and experimentally validating advanced algorithms in uncertainty-aware robot perception and robust robotic manipulation.

Key responsibilities

• Design, implement and benchmark algorithms in probabilistic robotics, uncertainty-aware perception and robust robotic manipulation under real-world uncertainties.
• Lead the development, maintenance and public release of clean, well-documented open-source software repositories (e.g. ROS/ROS2 packages, Python/C++ libraries).
• Integrate software and hardware for robotic manipulators, sensors and actuators to build reliable, high-performance experimental setups.
• Plan and run experimental validation in laboratory and field settings, evaluating perception-action loops with multi-modal sensor data.
• Draft invention disclosures for patents and write research manuscripts for top-tier robotics publications (e.g. ICRA, IROS, RSS, T-RO).
• Manage laboratory infrastructure, ensure compliance with workplace safety standards and co-guide student researchers.

Required profile

• Master's degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering or a related discipline.
• Solid theoretical foundation or practical experience in robot perception, state estimation, computer vision or robotic manipulation under uncertainty.
• Excellent technical writing skills, proactive problem-solving and ability to work in a collaborative research team.

Required skills

• Strong programming in C++ and Python, with hands-on experience in ROS/ROS2 and Linux.
• Experience contributing to open-source software, using Git for version control, or making patent disclosures is highly desirable.

Only shortlisted candidates will be notified.