(Senior) Research Scientist(Autonomous Systems and Robotics), ARTC

A*STAR - Agency for Science, Technology and Research

Singapore

On-site

SGD 80,000 - 120,000

Full time

14 days+
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Job summary

A*STAR - Agency for Science, Technology and Research in Singapore is seeking a Robotics Scientist focused on advancing Embodied AI and Learning from Demonstration for intelligent robotic systems. This role involves designing experiments, developing algorithms, and collaborating with teams to implement novel robotic solutions for industrial applications. Ideal candidates will possess a PhD in Robotics or related fields and have experience with deep learning frameworks and ROS2, along with a passion for innovative robotics development.

Qualifications

  • Strong background in AI-driven robotics techniques.
  • Hands-on experience with ROS2 and robotic hardware.
  • Knowledge of industrial automation advantages.

Responsibilities

  • Conduct R&D in Embodied AI focusing on Learning from Demonstration.
  • Design and execute experiments to analyze demonstration data.
  • Collaborate with multidisciplinary teams on robotics projects.

Skills

Deep learning frameworks (TensorFlow, PyTorch)
Programming languages (Python, C++)
Robot learning
Embodied AI
Learning from Demonstration
Collaboration
Research

Education

PhD in Robotics, Computer Science, or related field

Tools

ROS2
Isaac Sim

Job description

Overview

Job Description We are seeking a talented and experienced robotics scientist to join our team in advancing Embodied AI for robotics, with a strong focus on Learning from Demonstration for contact-rich manipulation and intelligent skill acquisition. The successful candidate will conduct applied R&D to develop, implement, and validate robot learning algorithms integrating motion, force/torque, and multimodal perception for real-world industrial applications. This role involves designing experimental setups, collecting and analysing demonstration data, translating research outcomes into functional prototypes, and contributing to the strategic development of Embodied AI and humanoid robotics capabilities, while working closely with multidisciplinary teams and stakeholders to drive innovation, technical excellence, and impactful deployment in advanced manufacturing environments.

Roles & Responsibilities
  • Conduct applied R&D in Embodied AI for robotics, focusing on Learning from Demonstration (LfD) for contact-rich manipulation and skill acquisition.
  • Design and execute experiments to collect, process, and analyse demonstration data for training intelligent robotic behaviours.
  • Apply machine learning techniques, including deep-learning methods, to enhance robot control and decision-making processes, making our robots more adaptable and intelligent.
  • Translate research outcomes into functional prototypes and deployable robotics solutions for industrial applications.
  • Contribute to the strategic development of Embodied AI and humanoid robotics capabilities.
  • If applicable, leverage computer vision and image processing techniques to improve robot perception and object recognition capabilities.
  • Continuously research and implement state-of-the-art algorithms and methodologies to improve robot performance and efficiency.
  • Collaborate with cross-functional teams, including hardware engineers, software developers, and researchers, to achieve project goals.
  • Support stakeholder engagement and technical discussions with industry partners, providing expert input on system capabilities and limitations.
Job Requirements
  • PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
  • Strong background in robot learning, Embodied AI, Learning from Demonstration, or related AI-driven robotics techniques.
  • Knowledge of deep learning frameworks like TensorFlow and/or PyTorch.
  • Proficiency in programming languages such as Python, C++
  • Hands-on experience with ROS2, simulation environments (e.g. Isaac Sim), and robotic hardware platforms.
  • Familiarity with industrial automation or manufacturing environments is an advantage.
  • Strong communication skills to collaborate effectively with colleagues and present technical findings.
  • A passion for robotics and a desire to stay updated with the latest developments in the field.
  • Strong commitment to solving technical challenges in the field of robotics, approaching obstacles with a positive and determined mindset.
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