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Research Engineer (AI Vision Systems)

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National University of Singapore (NUS)

Kent Ridge Campus

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Research Engineer (AI Vision Systems)

Research Staff

2026-06-29

Location

Kent Ridge Campus

National University of Singapore

Type

Fixed-term 1-year contract (extendable)

Start Date

Immediately

Required Qualifications

Bachelor’s in Electrical Engineering or related
Circuit architectures & transistor-level design
Silicon chip design & EDA tools
Independent & team collaboration
Strong communication skills

Research Areas

CogniVision AI cameras
Hardware sub-system exploration
FPGA digital twin
Chip-module-camera integration
AI accelerator & silicon tapeout
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Research Engineer (AI Vision Systems)

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:
    1. Hardware sub-system exploration and FPGA digital twin
    2. Chip integration of sub-systems from image sensing to AI accelerator and silicon system tapeout
    3. Camera module integration with silicon chip, optics and PCB
    4. Camera integration and digital interfaces
    5. 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

The candidate must possess:

  • 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.

Apply now

University-Level Unit: College of Design and Engineering

Faculty/Department-Level Unit: Electrical and Computer Engineering

Employee Category: Research Staff

Location: Kent Ridge Campus

Posting Start Date: 22/04/2026

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Frequently Asked Questions

🎓What qualifications are required for the Research Engineer (AI Vision Systems) role at NUS?

Candidates must hold a Bachelor’s degree in Electrical Engineering or related fields like Computer, Electronics, or Communication Engineering. Key knowledge includes circuit architectures, transistor-level design, silicon chip design, and EDA tools. Strong independent work, team collaboration, and communication skills are essential. Open to fixed-term contracts. Explore research jobs for similar roles or thrive in research roles.

🔬What are the main responsibilities in this AI Vision Systems project?

Contribute to hardware sub-system exploration, FPGA digital twin modeling, chip integration from image sensing to AI accelerator, silicon system tapeout, camera module integration with optics/PCB, and final experiment-driven fine-tuning. Author high-quality research papers for top conferences/journals and present at international events. See research assistant jobs for related opportunities.

📝How to apply for the Research Engineer position at National University of Singapore?

Click the Apply now link in the job post to submit your application via the NUS talent community portal. Salary is commensurate with qualifications and experience. Applications open until 2026-06-29. Prepare your CV highlighting chip design and EDA tools experience. Check free resume template and research career advice.

📅What is the employment type and duration for this NUS role?

This is a 1-year fixed-term contract with prospects for extension, under Research Staff category in the Electrical and Computer Engineering department. Commencement is immediate. Suitable for those open to contract work in AI vision systems. View more higher ed jobs.

📍Where is the job located and what is the project focus?

Located at Kent Ridge Campus, National University of Singapore. The project, led by Professor Massimo Alioto, focuses on CogniVision AI cameras, integrating hardware subsystems, AI accelerators, and camera modules. Ideal for silicon chip design experts. Discover research jobs in Singapore.

💰Is there salary information or visa sponsorship for international applicants?

Salary is commensurate with qualifications and experience; no specific range provided. Visa sponsorship not mentioned—check with NUS HR. Focus on Electrical Engineering skills for competitiveness. Refer to university salaries for benchmarks.

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