Learning-Based Motion Planning Research Engineer - Fixed-Term

National University of Singapore; Singapore; On-site; SGD 70,000 - 110,000; Full time

Benefits offered by this job

Fixed-term contract

Job summary

National University of Singapore is seeking a research engineer to advance safe interactive navigation and manipulation for mobile robots operating in complex, dynamic environments.

You will design robust obstacle avoidance algorithms, develop differentiable numerical solvers for trajectory optimization, and integrate planning with differentiable simulation to collect high-quality task data for vision-language-action learning.

Qualifications

• Master or Bachelor Degree in robotics, computer science, electrical/electronic engineering, etc.
• Extensive experience in robotic motion planning and control, obstacle avoidance, and contact-aware task execution.
• Real-world robot development and deployment experience, including humanoid robot systems.

Responsibilities

• Design robust obstacle avoidance algorithms for mobile robots in dynamic environments.
• Develop differentiable numerical solvers for trajectory optimization for contact-rich tasks.
• Integrate planning and control with differentiable simulation to build a trajectory data collection system for vision-language-action learning.

Skills

Robotics

Motion planning

C++

Python

Algorithms

Education

Bachelor's degree

Master's degree

Tools

MuJoCo

ISSAC

Job description

National University of Singapore is seeking a research engineer to advance safe interactive navigation and manipulation for mobile robots operating in complex, dynamic environments.

You will design robust obstacle avoidance algorithms, develop differentiable numerical solvers for trajectory optimization, and integrate planning with differentiable simulation to collect high-quality task data for vision-language-action learning.