Routiqo

Research Fellow (Computer Science)

Nanyang Technological University

  • NTU Main Campus, Singapore
  • Full-time

NTU is at the forefront of the AI revolution offering an unparalleled platform for talented individuals to gain practical skills, contribute to real-world challenges and accelerate innovation across diverse industries. Our state-of-the-art Hyundai-NTU-A*STAR Corporate Lab is where groundbreaking interdisciplinary research meets real-world applications to craft cutting-edge technologies to shape the future of automobile manufacturing.

The Hyundai-NTU-A*STAR Corporate Lab invites applications for the position of Research Fellow.

Key Responsibilities:

  • Research & Development of advanced innovative sampling-based and reinforcement learning-based motion planning algorithms for multiple robotic arms in automotive manufacturing, including testing, performance evaluation in both simulation and actual deployment in the manufacturing environment.
  • Software & Hardware Integration with the simulation software and the actual manufacturing systems.
  • Publish papers in international robotics and AI conferences as well as journals.
  • Work closely with the NTU project teams as well as the A*STAR and HMGICS project teams.
  • Read related research papers and implement innovative solutions to meet the project requirements.

Job Requirements:

  • PhD degree in Computer Science, Mechatronics, Robotics, Electrical Engineering or equivalent.
  • Proficiency in programming, software design and development and algorithms.
  • Strong analytical, algorithmic, AI and communication skills.
  • Proven track records of working in rapid R&D environment with wealth of experience in path planning for robotic arms, reinforcement deep learning and AI.
  • Good publication records.
  • A strong background in robotics kinematics and dynamics, trajectory planning and control is a distinct advantage.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU

Skills

  • Analytical
  • Communication
  • Deep learning
  • Mechatronics