Job Description

We are looking for qualified candidate with hands-on experience to work on Piezoelectric MEMS sensors and AI-enabled sensing system. 

The daily tasks include:

• Take responsibility for the concept, design, analysis, fabrication and testing of MEMS based sensors and piezoelectric MEMS (e.g., FBAR, SAW, and Tactile sensors, etc)
• Take responsibility for development of ICP etching process for Si etching
• Take responsibility for the deep learning based data analytics, e.g., SVM, CNN and PCA, etc.
• Take responsibility for the design and validation of in-memory computation features and functions for the IoT sensor nodes.
• Write journal papers
• Provide support to a team of engineers, FYP students and master students.

Qualifications

• With a BSc degree or MSc degree in electrical engineering or computer engineering
• Hands-on experience in piezoelectric sensors and piezoelectric MEMS
• Demonstrated research results and top-notch journal papers in the device fabrication, deep learning and sensors field, e.g., Nano Energy, ACS Nano, Nature Communications, Adv Sci, and Sci Adv etc.
• Has technical proposal writing and presentation skills.
• Doing research in a multidisciplinary team.
• Open to fixed-term contract.