Research Fellow (Robotics, Exoskeleton, Multimodal Machine Learning, e-SKIN

National University of Singapore; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

An established industry player is seeking a Research Fellow to innovate in Robotics and Exoskeleton technologies. This role involves hands-on experiments, designing MEMS sensors, and utilizing multimodal machine learning for sensory data analytics. The successful candidate will contribute to high-impact research publications and guide students in their projects. Join a dynamic team at a leading institution where your expertise will help shape the future of robotics and sensor technologies. If you are passionate about advancing technology and have a strong background in engineering, this opportunity is perfect for you.

Qualifications

• PhD degree in relevant discipline required.
• 3+ years experience in Robotics and MEMS design.

Responsibilities

• Design and fabricate MEMS and e-skin sensors.
• Write research papers and grant proposals.

Skills

Python

IoT Interface Knowledge

Machine Learning

Microfabrication Techniques

Education

PhD in Electrical/Electronic Engineering

Post-graduate courses in MEMS/Sensors/AI

Tools

Solid Works

COMSOL

ANSYS

Job description

Research Fellow (Robotics, Exoskeleton, Multimodal Machine Learning, e-SKIN, MEMS Sensors)

Job Description

Work on hands-on experiments for few of the following tasks:

1. Design and Fabrication of MEMS Sensors
2. Design and Fabrication of e-skin Sensors
3. Skills in Python
4. IoT Interface Usage Knowledge
5. Machine Learning Practice for Multimodal Sensory Data Analytics
6. Write 2 or more research papers based on derived data of the above devices in the first year in top-notch journals, e.g., Nature Communications
7. Write research grant proposals
8. Support and guide the experiments of FYP students and MSc students

Qualifications

1. PhD Degree in a relevant discipline, e.g., electrical / electronic engineering, computer engineering, etc.
2. Have learned MEMS, Sensors or AI Sensors related courses for one semester at post-graduate level and earned a score of A- or better.
3. Strong background in hands-on microfabrication techniques at clean room and with journal publications showing such evidence.
4. 3 years or more experience in making and testing Robotics, e.g., soft robotics, rigid robotic fingers, and exoskeleton.
5. 2 years or more working experience in MEMS and Exoskeleton design.
6. Good knowledge in Solid Works; COMSOL or ANSYS.
7. Having more than 3 first-authored international peer-reviewed journal papers, e.g., Nature Communications and Nature Machine Intelligence (for RF).
8. Open to Fixed Term Contract.

More Information

Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department: Electrical and Computer Engineering
Employee Referral Eligible: No
Job requisition ID: 28289