Research Engineer (AI Vision Systems)

National University of Singapore

Singapore

On-site

SGD 50,000 - 70,000

Full time

14 days+

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Job summary

The National University of Singapore seeks a Research Engineer for the CogniVision AI cameras project. The role involves hardware sub-system exploration, chip integration, and camera module integration. Candidates should hold a Bachelor's degree in Electrical Engineering or related fields, with knowledge of circuit architectures and silicon chip design. The position is contract-based, with a commitment to high-quality research output in leading journals and conferences. The contract is for one year with the possibility of extension.

Qualifications

  • Bachelor’s degree in Electrical Engineering or strictly related fields required.
  • Knowledge on circuit architectures and transistor-level design is essential.
  • Experience with silicon chip design and EDA tools is necessary.
  • Must have ability to work independently and in a team environment.
  • Good communication and interpersonal skills are required.

Responsibilities

  • Contribute to hardware sub-system exploration and modeling.
  • Assist in chip integration from image sensing to AI accelerator.
  • Perform camera module integration and digital interfaces.
  • Participate in final camera integration and tuning.
  • Author high-quality research papers for conferences.

Skills

Knowledge on circuit architectures
Transistor-level design
Silicon chip design
EDA tools
Good communication skills
Ability to work independently
Team collaboration

Education

Bachelor’s degree in Electrical Engineering or related fields

Job description

Job Title: Research Engineer (AI Vision Systems)
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: 22/04/2026



Job Description

We are looking for a Research Engineer for the CogniVision AI cameras project led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).



The Selected Candidate Is Expected To


  • Contribute to hardware sub‑system exploration, modeling, chip‑module‑camera integration, design lead for:

  • Hardware sub‑system exploration and FPGA digital twin

  • Chip integration of sub‑systems from image sensing to AI accelerator and silicon system tapeout

  • Camera module integration with silicon chip, optics and PCB

  • Camera integration and digital interfaces

  • Final camera integration and experiment‑driven fine‑tuning

  • Authoring high‑quality research papers for leading conferences and journals and presenting findings at international conferences



The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.



Qualifications


  • Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).

  • Knowledge on circuit architectures, transistor‑level design.

  • Knowledge on silicon chip design, EDA tools.

  • Ability to work independently and collaboratively in a team environment.

  • Good communication and interpersonal skills.

  • Open to fixed‑term contract.

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