Research Fellow (Photonic High-Performance AI Computing Systems)

National University of Singapore

Job Description:

Job Description

We are seeking a highly motivated and skilled Research Fellow to join our team on a project to demonstrate photonic high-performance AI computing systems. The successful candidate will be part of an interdisciplinary research team working on the design, fabrication, and integration of photonic computing architectures targeted at next-generation AI workloads. The research aims to exploit the unique advantages of integrated photonics — such as ultra-high bandwidth, low latency, and energy efficiency — to overcome current limitations in electronic-based AI accelerators.

Key Responsibilities:

  • Conduct cutting-edge research in photonic AI computing architectures, including photonic neural networks and hybrid electronic-photonic systems.
  • Design, model, and simulate photonic components and circuits tailored for AI acceleration.
  • Collaborate on the fabrication and experimental characterization of integrated photonic devices and systems.
  • Develop algorithms and system-level integration strategies to harness the capabilities of photonic processors for machine learning and deep learning tasks.
  • Publish research findings in high-impact journals and present at international conferences.
  • Mentor graduate and undergraduate students involved in the project.

Qualifications

  • PhD in Electrical Engineering, Materials Science, Applied Physics, or a related field.
  • Experience in photonic device modeling and simulation (e.g., Lumerical, COMSOL, FDTD, VPIphotonics).
  • Prior hands-on experience with cleanroom fabrication and optical/electrical characterization is an advantage.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and in a collaborative team environment.
  • Excellent publication record in reputable peer-reviewed journals.
  • 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 : 29234

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Confirmed 15 hours ago. Posted 9 days ago.

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