Research Fellow (Computer Science)
Quick Summary
Research & Development of advanced innovative sampling-based and reinforcement learning-based motion planning algorithms for multiple robotic arms in automotive manufacturing, including testing,
PhD degree in Computer Science, Mechatronics, Robotics, Electrical Engineering or equivalent. Proficiency in programming, software design and development and algorithms. Strong analytical,
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.
Responsibilities
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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.
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Software & Hardware Integration with the simulation software and the actual manufacturing systems.
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Publish papers in international robotics and AI conferences as well as journals.
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Work closely with the NTU project teams as well as the A*STAR and HMGICS project teams.
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Read related research papers and implement innovative solutions to meet the project requirements.
Requirements
~1 min readPhD 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: NTULocation & Eligibility
About this job
- Who can apply
- Singapore
- Posted
- Today
Listing Details
- First seen
- October 18, 2026
- Last seen
- October 18, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 49%
- Scored at
- October 18, 2026
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