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National University Of Singapore

Research Fellow (High-Performance AI Computing Systems)

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Job Description

Job Title: Research Fellow (High-Performance AI Computing Systems)

University-Level Unit: College of Design and Engineering

Faculty/Department-Level Unit: Electrical and Computer Engineering

Employee Category: Research Staff

Location_ONB: Kent Ridge Campus

Posting Start Date: 03/06/2026

Job Description

We are seeking a highly motivated and skilled Research Fellow to join our team on a project to demonstrate high-performance AI computing systems. The successful candidate will be part of an interdisciplinary research team working on the design, fabrication, and integration of neuromorphic computing architectures targeted at next-generation AI workloads.

Key Responsibilities

  • Conduct cutting-edge research in AI computing architectures, including neural networks hardware accelerator 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 device modeling and simulation.
  • 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.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Electrical and Computer Engineering

Employee Referral Eligible: No

Job requisition ID : 31506

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Job ID: 148965865