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Research Fellow (High-Performance AI Computing Systems) - NATIONAL UNIVERSITY OF SINGAPORE

Research Fellow (High-Performance AI Computing Systems) - NATIONAL UNIVERSITY OF SINGAPORE

NATIONAL UNIVERSITY OF SINGAPORED05 Clementi New Town, Hong Leong Garden, Pasir Panjang, SG
4 days ago
Job description

Roles & Responsibilities

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

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 AI computing architectures, including neural networks hardware accelerator and hybrid electronic-photonic systems.
  • Design, model, and simulate memristor cells and circuits tailored for AI acceleration.
  • Collaborate on the fabrication and experimental characterization of integrated memristor devices and systems.
  • Develop algorithms and system-level integration strategies to harness the capabilities of AI accelerator 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.
  • Tell employers what skills you have

    Materials Science

    Applied Physics

    Collaborative

    Ability To Work Independently

    COMSOL

    Fabrication

    Characterization

    Journals

    publication

    Electrical Engineering

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    Research Fellow • D05 Clementi New Town, Hong Leong Garden, Pasir Panjang, SG

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