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Jobfoundry
A*STAR

Development Scientist (ROS-I - Robotics AI/Coordination), ARTC

A*STAR
ResearchSingaporeFull-time1 months ago
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About the role

AI summarised

Development Scientist role at ARTC focusing on pioneering and translating cutting-edge research into industrial robotics solutions using the Robot Operating System (ROS) framework. The role involves leading initiatives in AI for robotics, multi-robot coordination, and path planning, working closely with engineering teams to develop proof-of-concept software solutions.

ResearchFull-time

Key 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.

Requirements

  • PhD degree in Robotics Engineering, Software Engineering, Computer Engineering, Electrical Engineering or Computer Science.
  • Min. years of experience: 3-5 years.
  • 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.
  • 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.