Research Engineer (MEMS Fabrication, Piezoelectric MEMS; PZT, Machine Learning and Neural Networks)

National University of Singapore

unknownPosted Mar 16, 2026
Posting intelligenceMay be filled, listed long agoReposted 13×, possible evergreen/ghost posting

Skills

machine-learning

About the role

Job Title: Research Engineer (MEMS Fabrication, Piezoelectric MEMS; PZT, Machine Learning and Neural Networks)

University-Level Unit: College of Design and Engineering

Faculty/Department-Level Unit: Electrical and Computer Engineering

Employee Category: Research Staff

Location_ONB: Kent Ridge Campus

Posting Start Date: 16/03/2026

Job Description

Work on hands-on experiments for few of the following tasks:

1. Design, Simulation, and Fabrication of Piezoelectric MEMS resonators; filters and sensors

2. Design, modelling and testing of neural networks aiming for human-machine-interface

3.Write 1 or more research papers based on derived data of the above devices in the first year in the top-notch journals

4.Supporting and guiding the experiments of FYP students

Qualifications

1. Have learned Piezoelectric MEMS resonators; filters and sensors related courses for one semester at post-graduate level and earned score of A- or better.

2. Strong background in hands-on microfabrication techniques at clean room and with journal publications showing such evidences

3. With 2 years and more experience in making and testing MEMS devices

4. With 1 year and more working experience in MEMS and Photonics design

5. Strong knowledge in L-Edit; Lumerical; CST; COMSOL; ANSYS;

6. Fluent in English speaking and writing

7. Having more than 1 1st-authored international peer-reviewed journal papers, e.g., Nature Communications and Science Advances (for Research Engineer)

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Electrical and Computer Engineering

Employee Referral Eligible: No

Job requisition ID : 32104

Questions about this role

Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.

Compensation varies by seniority, employer size, and location. When this listing publishes a salary band you'll see it in the badge row above the description.

Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.

AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, Personio, Teamtailor and other major ATS platforms. If we can submit through the platform, we do.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.