Job Description
Lead the Future of Intelligent Automation
Are you ready to push the boundaries of autonomous systems and robotics? The Agency for Science, Technology and Research (A*STAR) invites visionary scientists to join its Advanced Remanufacturing and Technology Centre (ARTC). As a Senior Scientist, Autonomous Systems & Robotics, you will spearhead trajectory planning, sensor fusion, and intelligent decision-making algorithms that drive nextâgeneration robotic platforms. Your work will directly impact advanced manufacturing, logistics, and autonomous mobility across Singaporeâs thriving industrial ecosystem.
At ARTC, youâll collaborate with worldâclass researchers, industry partners, and R&D teams to translate cuttingâedge theory into realâworld deployments. This is an opportunity to shape the future of humanârobot collaboration, smart factories, and autonomous navigation in complex environments. If you thrive on solving hard control and perception problems, and you want to see your algorithms come to life in prototype and production systems, this role is for you.
We offer a vibrant, multidisciplinary environment with stateâofâtheâart facilities, generous project funding, and clear career progression pathways. Join us in building Singaporeâs autonomous future.
Responsibilities
- Design, implement, and optimise trajectory planning and motion control algorithms for wheeled, legged, and manipulator robots
- Develop perception pipelines integrating LiDAR, cameras, IMUs, and radar for realâtime localisation and mapping (SLAM)
- Lead the integration of machine learning and reinforcement learning into autonomous decisionâmaking frameworks
- Conduct systemâlevel simulation and hardwareâinâtheâloop testing to validate performance in realistic scenarios
- Collaborate with crossâfunctional teams to deploy robotic solutions in manufacturing, logistics, and field environments
- Publish highâimpact research in topâtier journals and present findings at international conferences
- Mentor junior scientists and engineers, fostering technical excellence and innovation within the team
- Contribute to proposal writing, grant applications, and technology roadmaps to secure sustained funding and partnerships
Qualifications
- PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a closely related field
- Minimum 5 years of postâdoctoral or industry experience in autonomous systems, with a strong publication record
- Deep expertise in trajectory optimisation (e.g., RRT*, CHOMP, MPC) and control theory (PID, LQR, nonlinear control)
- Proven proficiency in ROS/ROS2, Gazebo, and C++/Python; experience with realâtime systems is a plus
- Handsâon experience with sensor calibration, state estimation (Kalman filters, factor graphs), and sensor fusion
- Familiarity with machine learning frameworks (PyTorch, TensorFlow) and reinforcement learning libraries
- Excellent analytical, problemâsolving, and communication skills; ability to drive projects from concept to deployment
- Demonstrated ability to lead technical teams and collaborate with industrial partners