Ai jobs in Singapore

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.

• 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: 1‑3 years

• Strong proficiency in C++ and Python programming.
• Experience with ROS 2 and its ecosystem.
• Extensive experience and expertise in software development principles and practices.
• Demonstrated ability to pioneer research or translate research findings into practical software prototypes or applications.
• Understanding of the Software Development Life Cycle (SDLC) and proficiency with Git version control.
• Deep knowledge of robotics concepts including manipulation, navigation, fleet management, and/or simulation.
• Proven experience in AI/Machine Learning applied to robotics, advanced multi‑robot coordination, or path planning.

• Experience applying or researching AI technologies in robotics.
• Experience managing research projects or leading technical initiatives.
• Experience with specific robotics algorithms (e.g., scheduling optimisation, task assignment, traffic deconfliction).
• Experience developing software solutions using ROS libraries.

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.

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.