(Senior) Scientist, Autonomous Systems & Robotics, ARTC

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading research organization in Singapore is seeking a skilled robotics scientist to enhance Embodied AI technologies. The role involves conducting R&D, developing robot learning algorithms, and working in a collaborative environment with engineers and researchers. The ideal candidate should possess a PhD, experience in AI-driven robotics, and strong programming skills in Python and C++. This position provides an opportunity to make impactful contributions in advanced manufacturing settings.

Qualifications

• PhD in a relevant field with expertise in robotics.
• At least 2 years of experience in robotics or AI.
• Strong background in learning-based robotic functionalities.

Responsibilities

• Conduct R&D in Embodied AI focused on robotics applications.
• Design and execute experiments for robot learning.
• Collaborate with multidisciplinary teams to achieve project goals.

Skills

Robot learning

Embodied AI

Learning from Demonstration

Programming in Python

Programming in C++

Collaboration

Deep learning frameworks

Communication skills

Education

PhD in Robotics, Computer Science, Electrical Engineering, or related field

Tools

TensorFlow

PyTorch

ROS2

Isaac Sim

Job description

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 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.
• At least 2 years of experience
• 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.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.