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A*STAR

Senior Research Scientist (ROS-I Embodied AI), ARTC

A*STAR
ResearchSingaporeFull-time1 months ago
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About the role

AI summarised

Senior Research Scientist role at ARTC focusing on Embodied AI for robotics, pioneering research in AI-driven robotic capabilities such as multimodal perception, dexterous manipulation, reinforcement learning, and simulation-to-real transfer. The role involves developing novel algorithms, building simulation environments, and translating research into industrial automation applications.

ResearchFull-time

Key Responsibilities

  • Pioneer and lead research or translation of research into industrial robotics applications, focusing on AI for robotics.
  • Develop novel algorithms and models for manipulation, navigation, and adaptive autonomy in complex manufacturing environments.
  • Build and refine high-fidelity simulation environments using tools such as Isaac Sim, Gazebo, or custom simulators.
  • Apply machine learning and deep learning techniques to improve robot control, adaptability, and decision-making in real-world scenarios.
  • Architect and collaborate with engineers to develop proof-of-concept software solutions and demonstrators based on research outcomes using languages like C++ and Python and libraries such as ROS.
  • Support integration of perception tools (e.g., vision, force/torque) to enable better object handling and environmental interaction.
  • Drive application-oriented robotic research towards industrial automation.
  • Publish research findings in top-tier robotics/AI venues and develop technical documentation.

Requirements

  • PhD degree in Robotics Engineering, Software Engineering, Computer Engineering, Electrical Engineering or Computer Science.
  • Min. years of experience: 3-5 years.
  • Strong proficiency in C++ and Python.
  • Experience with ROS and its ecosystem (ROS/ROS2).
  • Expertise in AI/ML model development, including reinforcement learning or imitation learning.
  • Basic familiarity with deep learning frameworks such as PyTorch or TensorFlow is advantageous.
  • Experience with Isaac Sim, Gazebo, Webots, or equivalent robotics simulators.
  • Familiarity with Git, collaborative code workflows, and the software development lifecycle.
  • Demonstrated ability to pioneer research or translate research findings into practical software prototypes or applications.
  • Understanding of the Software Development Lifecycle (SDLC) and proficiency with Git version control.
  • Experience with CI/CD and containerization (e.g., Docker, Kubernetes).
  • Experience with software systems integration, architecture, communication protocols, and networked systems.
  • Experience managing research projects or leading technical initiatives.
  • Experience working with industry partners and presenting technical work.
  • Prior experience in using/operating humanoids or working in semicon equipment sector is an added advantage.