Lead AI/Robotics Research Scientist, Embodied AI Centre (EAIC)

A*STAR Research; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Embodied AI Centre (EAIC) in Singapore seeks a Lead AI/Robotics Research Scientist to set the technical direction for EAIC's robotics research agenda and lead the development of intelligent robotic systems capable of perceiving, reasoning and acting in dynamic real-world environments.

You will mentor engineers, collaborate across software, data and hardware teams, and align R&D with industry partners to deliver impactful robotic solutions. A PhD and a strong publication record are required.

Qualifications

• PhD in Robotics, AI, Computer Science, Computer Engineering, or related fields.
• Demonstrated experience developing AI, robotics, or autonomous system solutions.
• Demonstrated track record of robotics research publications and academic impact.
• Experience leading complex technical research projects and workstreams.
• Ability to translate research objectives into clear technical architecture and execution plans.

Responsibilities

• Lead the technical direction and delivery of embodied AI and robotics projects from concept through real-world validation.
• Design and run large-scale training pipelines for embodied AI models.
• Work with Principal Investigators to define and implement the research agenda for the centre.
• Guide the development of scalable data, training, evaluation and deployment workflows for robotic systems.
• Work closely with software, data and hardware teams to integrate AI models with physical platforms.
• Mentor engineers, review technical work and strengthen engineering practices within the team.
• Engage research, industry and ecosystem partners to translate requirements into technical roadmaps and deliverables.

Skills

AI/Robotics expertise

Research leadership

System integration

Education

PhD in Robotics/AI/CS/CE or related fields

Job description

Summary

Singapore's Embodied AI Centre (EAIC) is a new national initiative under the RIE2030 Manufacturing, Trade and Connectivity domains to establish Singapore as a leading robotics and embodied AI hub. EAIC brings together research and industry partners to build engineering and R&D capabilities, advance trusted evaluation, benchmarking and validation of embodied AI models and robotics solutions, and promote an open and interoperable ecosystem that accelerates adoption in real-world applications.

Summary

Singapore's Embodied AI Centre (EAIC) is a new national initiative under the RIE2030 Manufacturing, Trade and Connectivity domains to establish Singapore as a leading robotics and embodied AI hub. EAIC brings together research and industry partners to build engineering and R&D capabilities, advance trusted evaluation, benchmarking and validation of embodied AI models and robotics solutions, and promote an open and interoperable ecosystem that accelerates adoption in real-world applications.

As the Lead AI/Robotics Research Scientist, you will set the technical direction for EAIC's robotics research agenda, lead the development of intelligent robotic systems, and guide a team delivering solutions that can perceive, reason and act in dynamic and real-world environments.

Job Description

• Lead the technical direction and delivery of embodied AI and robotics projects from concept through real-world validation.
• Design and run large-scale training pipelines for embodied AI models
• Work with Principal Investigators to define and implement the research agenda for the centre.
• Guide the development of scalable data, training, evaluation and deployment workflows for robotic systems.
• Work closely with software, data and hardware teams to integrate AI models with physical platforms.
• Mentor engineers, review technical work and strengthen engineering practices within the team.
• Engage research, industry and ecosystem partners to translate requirements into technical roadmaps and deliverables.

Job Requirements

• PhD in Robotics, AI, Computer Science, Computer Engineering, or related fields.
• Demonstrated experience developing AI, robotics, or autonomous system solutions.
• Demonstrated track record of robotics research publications and academic impact
• Experience leading complex technical research projects and workstreams
• Ability to translate research objectives into clear technical architecture and execution plans.