Real2Sim2Real Dexterous Hand Robotics Research Engineer

National University of Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

National University of Singapore, Kent Ridge Campus, invites applications for a Research Engineer/Research Assistant to advance real2sim2real learning for dexterous manipulation.

The role involves designing simulation-based skill learning, integrating differentiable simulation, trajectory optimization, RL and imitation learning, and developing sim-to-real refinement with multimodal feedback to bridge the reality gap.

Qualifications

• Master or Bachelor in robotics, CS or EE with strong fundamentals.
• Proven experience in dexterous hand manipulation and real-world robotics.
• Experience with robotics simulators and production-grade code.

Responsibilities

• Design simulation-based learning and optimization methods for dexterous manipulation.
• Develop sim-to-real adaptation using multimodal feedback to improve real-world performance.

Skills

Dexterous hands

Robotics

C++

Python

Simulation

Reinforcement learning

Education

Bachelor/Master in robotics or CS/EE

Tools

MuJoCo

ISSAC

Job description

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Research Engineer/Research Assistant (Dexterous hand)

University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Electrical and Computer Engineering Employee Category: Research Staff Location: Kent Ridge Campus Posted On: 22/10/2026

Job Description

The research project focuses on developing real2sim2real learning and control methodologies for acquiring robust dexterous manipulation skills in complex, content-rich environments.

The research engineer is expected to contribute to the following key aspects:

a) Design simulation-based skill learning and optimization methods for contact-rich dexterous manipulation, integrating differentiable simulation, trajectory optimization, reinforcement learning, and/or imitation learning to efficiently acquire transferable manipulation policies under complex physical constraints and diverse task conditions.

b) Develop sim-to-real adaptation and closed-loop skill refinement approaches that leverage multimodal sensory feedback, including vision, tactile, and proprioceptive information, to bridge the simulation-to-reality gap and continuously improve manipulation performance in the real world.

Job Requirements

● Master or Bachelor Degree in a relevant discipline, e.g. robotics, computer science, electrical/electronic engineering, etc.
● Extensive experience in dexterous hand manipulation, especially in in-hand skills with demonstrated expertise in real-world robotic applications.
● Substantial practical experience in real robot development and deployment, including multi-fingered robot systems.
● Proficient experience with various robotics simulators (e.g., MuJoCo, ISSAC) and excellent programming skills in C++ and Python with the ability to develop efficient, production-quality code.
● Open to Fixed Term Contract.

Req ID: 34734 Apply now

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