Question 1

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

Accepted Answer

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 .

Question 2

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

Accepted Answer

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.

Question 3

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

Accepted Answer

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 .

Question 4

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

Accepted Answer

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 .

Question 5

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

Accepted Answer

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.

Question 6

Is there salary information or visa sponsorship for international applicants?

Accepted Answer

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.

Research Engineer (AI Vision Systems)

National University of Singapore (NUS)

Kent Ridge Campus

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