Scientist (ROS-I Embodied AI)

A*STAR - Agency for Science, Technology and Research; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

A*STAR - Agency for Science, Technology and Research invites applications for a Development Scientist role focused on pioneering robotics software solutions using ROS, C++, and Python.

You will collaborate with engineering teams to translate research into industrial automation, advance multi-robot coordination, and contribute to path planning and simulation.

Candidates hold a PhD and 3–5 years of experience, with a track record in AI for robotics and software prototypes.

Qualifications

• PhD required in a robotics/CS-related field.
• 3–5 years of relevant research or industry experience.
• Strong publication or project translation record.
• Proficiency in C++/Python and ROS ecosystems.
• Experience with SDLC and Git version control.

Responsibilities

• Pioneer and lead research translating to industrial robotics via AI and multi-robot coordination.
• Develop robotics software using ROS, AI models, ML, and simulation.
• Architect proof-of-concept software with C++/Python and ROS.
• Drive research toward industrial automation.
• Prepare technical write-ups, publications, and presentations.

Skills

C++ programming

Python programming

ROS/ROS2

Robotics concepts

AI/ML in robotics

SDLC & Git

Research translation

Education

PhD in Robotics/Software/CS

Tools

ROS

Job description

Long Description
As a Development Scientist, you will be a key resource in a team focused on pioneering, leading, and translating cutting-edge research into next-generation software robotics solutions for industrial applications, based on the open-source Robot Operating System (ROS) framework. Working closely with or leading engineers, you will drive initiatives in areas such as AI for robotics applications, advanced multi-robot coordination, and path planning.
Roles And Responsibilities

• Pioneer and lead research or translation of research into industrial robotics applications, focusing on AI for robotics, advanced multi-robot coordination, or path planning, working closely with or leading engineering teams.
• Research, develop, extend, and apply advanced robotics software and algorithms leveraging frameworks like ROS, with a focus on areas such as AI models, machine learning, multi-agent systems, and simulation, collaborating with engineers on implementation and testing.
• 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.
• Drive application-oriented robotic research towards industrial automation.
• Implement systems engineering approaches to translate research concepts into system requirements and validation methodologies, working with engineers to ensure practical implementation.
• Develop technical write-ups, publications, and presentations to disseminate research findings and translation outcomes.

Qualification & field of study: PhD degree in Robotics Engineering, Software Engineering, Computer Engineering, Electrical Engineering or Computer Science.
Min. years of experience: 3-5 years.
Essential Skills & Experience

• Strong proficiency in C++ and Python programming.
• Experience with ROS and its ecosystem (ROS/ROS2).
• Knowledge of robotics concepts including manipulation, navigation, fleet management, and simulation.
• Proven experience in AI/Machine Learning applied to robotics, advanced multi-robot coordination, or path planning.
• 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.

Desired Skills & Experience

• 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.
• Business acumen related to industrial robotics applications.

Interview Expectation: Candidates should be prepared to present their approach to pioneering research or translating research into industrial robotics applications, focusing on AI for robotics, advanced multi-robot coordination, or path planning, or propose an alternative research translation initiative.