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 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

• At least a Doctoral degree in electrical engineering or computer engineering
• Hands-on experience in piezoelectric sensors and piezoelectric MEMS
• For applicants without PhD degree, at least 4 years of research related working experience is expected
• Demonstrated research results and top-notch journal papers in the deep learning and sensors field, e.g., ACS Nano, Nature Communications, Adv Sci, and Sci Adv etc.
• Has technical proposal writing and presentation skills.
• Able to plan and organize well and adhere to deadlines.
• Doing research in a multidisciplinary team.
• Experience of mentoring the FYP students and master students is an asset.
• Open to fixed term contract

More Information

Location: Kent Ridge Campus
Organization: Engineering
Department : Electrical And Computer Engineering
Employee Referral Eligible: No
Job requisition ID : 8939