Job Description

Job Title:  Research Fellow (Humanoid Robotics), School of Computing
University-Level Unit:  School of Computing
Faculty/Department-Level Unit:  Department of Computer Science
Employee Category:  Research Staff
Location_ONB:  Kent Ridge Campus
Posting Start Date:  11/07/2026

Job Description

We are seeking a highly motivated Postdoctoral Research Fellow to conduct cutting-edge research on humanoid robotics. The successful candidate will work on topics at the intersection of robotics, computer graphics, and embodied AI, including physics-based simulation, character animation, motion synthesis, and learning-based control for humanoid systems.

 

Key Responsibilities:

  • Conduct independent and collaborative research on humanoid robotics, including simulation, motion generation, and control
  • Develop and implement algorithms leveraging computer graphics techniques (e.g., physics simulation, character animation, 3D modeling) for humanoid applications
  • Publish research findings in top-tier conferences and journals (e.g., SIGGRAPH, CoRL, ICRA, RSS)
  • Assist in supervising graduate and undergraduate students
  • Contribute to grant proposals and project reports


The successful candidate will be responsible for working closely with Assistant Professor Dr. Duan Jiafei (https://duanjiafei.com/) 

Qualifications

  • PhD in Computer Science, Robotics, or a closely related field
  • Strong background in computer graphics (e.g., physics-based simulation, character animation, motion capture, or rendering)
  • Solid programming skills (Python/C++) and experience with relevant frameworks (e.g., PyTorch, Isaac Gym/Lab, MuJoCo)
  • Strong publication record in relevant venues
  • Experience with humanoid robots or legged locomotion is preferred
  • Familiarity with reinforcement learning or imitation learning for motion control is preferred

More Information

Location: Kent Ridge Campus

Organization: School of Computing

Department : Department of Computer Science

Employee Referral Eligible: No

Job requisition ID : 33695

Req ID:  33695