Research Fellow; Robotics,Exoskeleton,Multimodal Machine Learning,e-SKIN,MEMS Sensors Job Kent area,Washington USA,Engineering

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

Job Title

Research Fellow (Robotics, Exoskeleton, Multimodal Machine Learning, e‑S‑KIN, MEMS Sensors)

Posting

Start Date:

10/07/2025

Job Description

Work on hands‑on experiments for the following tasks:

Design and Fabrication of MEMS Sensors

Design and Fabrication of e‑skin Sensors

Skills in Python

IoT Interface Usage Knowledge

Machine Learning Practice for Multimodal Sensory Data Analytics

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

Write research grant proposals

Supporting and guiding the experiments of FYP students and MSc students

Qualifications

PhD Degree in a relevant discipline, e.g., electrical / electronic engineering, computer engineering etc.

Have learned MEMS, Sensors or AI Sensors related courses for one semester at post‑graduate level and earned a score of A‑ or better.

Strong background in hands‑on microfabrication techniques at clean room and with journal publications showing such evidence.

With 3 years and more experience in making and testing Robotics, e.g., soft robotics, rigid robotic fingers, and exoskeleton.

With 2 year and more working experience in MEMS and Exoskeleton design.

Good knowledge in Solid Works, COMSOL or ANSYS.

Having more than 3 first‑authored international peer‑reviewed journal papers, e.g., Nature Communications and Nature Machine Intelligence (for RF).

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

#J-18808-Ljbffr


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Job Posting Language

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