Job Description

This position focuses on the design, development, and evaluation of integrated robotic systems enhanced with modern AI capabilities. The work forms part of a research programme advancing intelligent robotic platforms through the integration of embodied hardware systems with Vision-Language-Action models, enabling robots to perceive, reason, and act in real-world environments. The successful candidate will contribute to the full lifecycle of robotic system development, from mechanical design and simulation to AI integration, teleoperation, and real-world validation in laboratory and field environments.

The successful candidate will be required to:

•    Design and develop robotic platforms including mechanical structures, actuation systems, sensing modules, and embedded electronics
•    Build and integrate full robotic systems combining hardware, perception, control, and AI model components
•    Implement and integrate Vision-Language-Action models or related embodied AI frameworks for robot perception and decision-making
•    Develop robot control pipelines and interfaces for teleoperation, data collection, and learning-based control
•    Simulate robotic systems using physics-based simulators such as MuJoCo, Gazebo, or similar robotics simulation environments
•    Conduct laboratory testing and system validation of robot prototypes, including sensor calibration, motion testing, and performance evaluation
•    Deploy robotic systems in real-world environments and evaluate system robustness, autonomy, and task performance
•    Analyse experimental results and refine system design through iterative hardware-software co-development
•    Collaborate with interdisciplinary teams including robotics engineers, AI researchers, and application-domain specialists

Qualifications

•    Possess at least a bachelor’s degree (B.Eng.) in Robotics Engineering, Mechanical Engineering, Electrical Engineering, Computer Engineering, Mechatronics, or a closely related discipline.
•    Strong foundation in robot design, mechatronics, and system integration.
•    Experience with robot simulation platforms such as MuJoCo, Gazebo, Isaac Sim, or equivalent physics engines.
•    Familiarity with robotics software frameworks (e.g., ROS/ROS2, Python, C++).
•    Experience integrating AI or machine learning models with robotic systems is advantageous.
•    Prior exposure to teleoperation systems, robot learning, or embodied AI is beneficial.
•    Hands-on experience with robot prototyping, sensors, and embedded control systems is preferred.
•    Ability to conduct experimental evaluation and real-world robot testing.
•    Strong problem-solving ability and willingness to work in an interdisciplinary robotics research environment.
•    Good written and verbal communication skills.
•    Open to fixed-term contract.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Biomedical Engineering

Employee Referral Eligible: No

Job requisition ID : 32088