"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 the top-notch journals, e.g., Nature Communications
7. Write research grant proposals
8. 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

Apply now