Lead Wearable Robotics & Biomechanics Research Fellow

Nanyang Technological University; Singapore; On-site; SGD 72,000 - 96,000; Full time

Job summary

NTU Singapore invites applications for a Research Fellow in Wearable Robotics and Biomechanics. The role focuses on wearable exoskeletons, powered prostheses, balance augmentation, human movement, and intelligent sensing and control.

You will conduct innovative research, publish findings, and lead new directions within the MAE research group. The successful candidate will work in a multidisciplinary team, contribute to experiments with human subjects where applicable, and mentor graduate

Qualifications

• PhD in a relevant engineering field with strong research output.
• Candidates nearing completion may be considered if they complete before appointment.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively in interdisciplinary settings.
• Proven ability to develop new research ideas and solve problems.

Responsibilities

• Lead independent research in wearable robotics, biomechanics, and assistive technologies.
• Develop and validate robotic systems including exoskeletons and balance augmentation devices.
• Publish high‑quality journal and conference papers; contribute to collaborations and proposal writing.
• Mentor students and foster a productive research environment.

Skills

Robotics

Biomechanics

Wearable robotics

Sensing

Control engineering

Artificial intelligence

MATLAB

Python

C/C++

Experimental design

Research mentoring

Education

PhD in Mechanical Engineering / Robotics / Biomedical Engineering / Electrical/Electronic Engineering / Control Engineering

Tools

Computational modelling tools

Job description

NTU Singapore invites applications for a Research Fellow in Wearable Robotics and Biomechanics. The role focuses on wearable exoskeletons, powered prostheses, balance augmentation, human movement, and intelligent sensing and control.

You will conduct innovative research, publish findings, and lead new directions within the MAE research group. The successful candidate will work in a multidisciplinary team, contribute to experiments with human subjects where applicable, and mentor graduate