Job Description
Job Title:  Research Fellow (Robotics, Exoskeleton, Multimodal Machine Learning, e-SKIN, MEMS Sensors)
Posting Start Date:  21/03/2025
Job Description: 

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 the top-notch journals, e.g., Nature Communications
6. Write research grant proposals
7.Supporting and guiding 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 score of A- or better.
3.    Strong background in hands-on microfabrication techniques at clean room and with journal publications showing such evidences
4.    With 3 years and more experience in making and testing Robotics, e.g., soft robotics, rigid robotic fingers, and exoskeleton.
5.    With 2 year and more working experience in MEMS and Exoskeleton design
6.    Good knowledge in Solid Works; COMSOL or ANSYS; 
7.    Having more than 3 1st-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