Research Engineer, Piezoelectric MEMS Sensors and AI-Enabled Sensing System

02 May 2022
End of advertisement period
30 May 2022
Contract Type
Fixed Term
Full Time

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.


  • 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

More Information

Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department: Electrical and Computer Engineering
Employee Referral Eligible: No
Job requisition ID: 11692

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