National University of Singapore (NUS) Jobs

National University of Singapore (NUS)

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Kent Ridge Campus

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"Research Assistant (Nanoelectronics & Edge AI Hardware)"

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Research Assistant (Nanoelectronics & Edge AI Hardware)

Staff / Research Assistant

2026-05-01

Location

Kent Ridge Campus

National University of Singapore

Type

Fixed Term Contract

Start Date

2026-02-23

Required Qualifications

Bachelor’s in Electrical/Electronic Engineering or related
Strong Python for data analysis
EDA/simulation tools (SPICE, Cadence)
Semiconductor devices & circuits fundamentals
Experimental mindset & documentation

Research Areas

Nanoelectronics
Edge AI Hardware
Edge Computing Devices
79% Job Post Completeness

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Research Assistant (Nanoelectronics & Edge AI Hardware)

Posting Start Date: 23/02/2026

Job Description

  • Assist in the electrical characterisation of emerging devices (DC/AC measurements, variability, stability, reliability trends as needed).
  • Organise measurement data, maintain test logs, and help establish repeatable test protocols.
  • Support analysis of device figures-of-merit relevant to edge computing (e.g., switching behaviour, leakage, variability, endurance/retention where applicable).

Qualifications

  • Minimum Bachelor’s degree in Electrical/Electronic Engineering, Materials, Applied Physics, Communications/Computer Engineering, or related.
  • Strong Python skills for data analysis and research workflows.
  • Ability to learn and use EDA/simulation tools (e.g., SPICE, Cadence/Mentor/ADS, or equivalents) and produce clear technical reports.
  • Good fundamentals in semiconductor devices and circuits (or strong willingness to ramp up quickly).
  • Careful experimental mindset (documentation, reproducibility, handling noisy/variable data).
  • 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: 31848

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Frequently Asked Questions

🎓What qualifications are required for this Research Assistant role in Nanoelectronics?

Candidates need a minimum Bachelor’s degree in Electrical/Electronic Engineering, Materials, Applied Physics, or related fields. Key skills include strong Python for data analysis, ability to use EDA tools like SPICE or Cadence, and solid fundamentals in semiconductor devices and circuits. An experimental mindset for documentation and handling data variability is essential. Open to Fixed Term Contract. Prepare your academic CV highlighting these skills for research assistant jobs.

📊What are the main responsibilities as Research Assistant in Edge AI Hardware?

Assist with electrical characterisation of emerging devices (DC/AC measurements, variability, reliability). Organize measurement data, maintain test logs, and establish repeatable protocols. Support analysis of device figures-of-merit for edge computing like switching, leakage, and endurance. Explore research assistant jobs or tips to excel as a research assistant to prepare.

When is the application deadline and start date for this NUS Nanoelectronics position?

The posting start date is 23/02/2026, with an application deadline of 01/05/2026. Apply early via the job requisition ID 31848. Check research jobs for similar opportunities at NUS.

📍Where is the Research Assistant position located, and what is the department?

Located at Kent Ridge Campus, within the Electrical and Computer Engineering department, College of Design and Engineering at National University of Singapore (NUS). Ideal for those seeking nanoelectronics and edge AI hardware roles. View more higher ed jobs in Singapore.

💻What skills in Python and tools are needed for Edge AI Hardware research?

Strong Python skills are required for data analysis and research workflows. Learn to use EDA/simulation tools such as SPICE, Cadence, Mentor, or ADS, and produce technical reports. Fundamentals in semiconductor devices essential. Boost your profile with cover letter templates and explore research role success tips.

🔗How do I apply for this Nanoelectronics Research Assistant job at NUS?

Click the 'Apply now' link for requisition ID 31848. Employee referral not eligible. Tailor your application to highlight nanoelectronics, edge AI hardware, and Python expertise. Browse university jobs or research jobs for preparation.

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