Research Fellow (Computer Science)

Nanyang Technological University Singapore; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

Nanyang Technological University Singapore seeks a research lead in robotics focused on motion planning algorithms using reinforcement learning for robotic arms in automotive manufacturing. Candidates should hold a PhD in Computer Science or related fields, possess strong programming and algorithmic skills, and have experience in rapid R&D. The role includes integration of software and hardware, publishing research, and working closely with project teams from NTU and A*STAR. This role is located in Singapore and is pivotal in shaping the future of automotive tech.

Qualifications

• Proficiency in programming, software design and development.
• Strong analytical skills, AI knowledge, and communication abilities.
• Experience in rapid R&D environments with path planning for robotic arms.

Responsibilities

• Research & Development of motion planning algorithms for robotic arms.
• Software & Hardware integration with simulation software and production systems.
• Publish papers in robotics and AI conferences.
• Collaborate with NTU and A*STAR project teams.
• Implement innovative solutions from research findings.

Skills

Programming skills

Algorithm design and development

Analytical skills

Communication skills

Education

PhD degree in Computer Science, Mechatronics, Robotics, Electrical Engineering or equivalent

Job description

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.

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.