"Research Fellow (High-Performance AI Computing Systems)"

Posting Start Date: 20/01/2026

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

Apply now