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Research Fellow (AI Vision Systems)

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National University of Singapore (NUS)

Kent Ridge Campus

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Research Fellow (AI Vision Systems)

Research Fellow

2026-07-03

Location

Kent Ridge Campus

National University of Singapore

Type

Research Staff (Fixed-term, 1-year with extension prospect)

Start Date

2026-04-22

Required Qualifications

PhD in Electrical Engineering or related
Circuit architectures & transistor-level design
Silicon chip design & EDA tools
Independent & collaborative work
Strong communication skills

Research Areas

AI Vision Systems
Hardware sub-system exploration
Chip-module-camera integration
FPGA digital twin
Silicon system tapeout
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Research Fellow (AI Vision Systems)

Research Fellow (AI Vision Systems)

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

Job Description

We are looking for a Research Fellow 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.
  • Managing technical milestones for the project and providing technical guidance to PhD and master’s students within the group.

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:

  • a PhD 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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Frequently Asked Questions

🎓What qualifications are required for the Research Fellow in AI Vision Systems at NUS?

Candidates must hold a PhD in Electrical Engineering or closely related fields like Computer, Electronics, or Communication Engineering. Essential knowledge includes circuit architectures, transistor-level design, silicon chip design, and EDA tools. Strong ability to work independently and in teams, plus excellent communication skills, are required. Openness to fixed-term contracts is necessary. Explore similar research jobs or postdoc success tips.

💼What are the key responsibilities in this AI Vision Systems role?

The role involves leading hardware sub-system exploration, FPGA digital twin modeling, chip integration from image sensing to AI accelerator, camera module integration with optics and PCB, and final experiment-driven fine-tuning. Additional duties include authoring high-impact research papers for top conferences/journals, presenting at international events, and managing project milestones while guiding PhD/Master’s students. See research assistant jobs for related opportunities.

📅What is the contract duration and start date for this NUS position?

The appointment is a 1-year fixed-term contract with prospects for extension, commencing immediately upon selection. Posting starts on April 22, 2026, with applications open until July 3, 2026. Salary is commensurate with qualifications and experience. Check postdoc jobs for comparable roles.

🔬Does this role involve student supervision or paper publications?

Yes, the Research Fellow will manage technical milestones, provide technical guidance to PhD and Master’s students, author high-quality research papers for leading conferences/journals, and present findings internationally. Ideal for those advancing in AI hardware research. Read how to thrive in research roles or browse faculty positions.

🚀How do I apply for the Research Fellow AI Vision Systems at NUS?

Applications are via the NUS portal (link in original posting). Prepare your CV highlighting PhD, chip design experience, and publications. Tailor to emphasize AI vision systems and integration skills. Visit free resume template and cover letter template for academic applications, plus NUS research jobs.

🖥️What research areas does this NUS Electrical Engineering role cover?

Focus on CogniVision AI cameras project: hardware sub-systems, silicon tapeout, camera integration, digital interfaces, and AI accelerators. Led by Professor Massimo Alioto in the College of Design and Engineering. Relevant for engineering research experts. Explore research assistant advice (adaptable globally).

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