Postdoctoral / Research Fellow (AI accelerators)

Nanyang Technological University Singapore; Singapore; On-site; SGD 47,000 - 60,000; Full time

Job summary

Nanyang Technological University Singapore is seeking a Postdoctoral Fellow to lead research on neuromorphic circuits and systems in a pioneering lab.

The role focuses on experimentally designing and building crossbar and other architectures that can employ post-CMOS devices to accelerate computing, targeting AI training and real-time optimization.

Qualifications

• PhD in Electrical Engineering, Computer Science or related field.
• 3+ years of relevant experience with hands-on circuit design and testing.
• Familiarity with neuromorphic computing and AI models.
• Strong written and oral communication with publications.
• Entry level candidates are welcome to apply.

Responsibilities

• Define detailed experimental steps and conduct experiments.
• Build and test crossbar architectures and other circuits.
• Publish results in journals and present at conferences.

Skills

Written and oral communication

Education

PhD in Electrical Engineering or related field

Job description

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. The School is globally known for its cutting-edge research and world-class infrastructure, and generous funding.

The School ranks 4th (globally) in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

The postdoctoral fellow will work in a laboratory that was one of the pioneers in the field of neuromorphic computing, and one that has influenced today’s widely used AI products.

For more details, please view: https://www.ntu.edu.sg/eee

We are looking for a Postdoctoral Fellow to lead research on neuromorphic circuits and systems. The role will focus on experimentally designing and building circuits of crossbars and other architectures that can employ post-CMOS devices and accelerate computing. Specifically, the project targets building accelerators for problems that are not efficiently handled by digital systems, such as AI training, real-time optimization, etc.

Key Responsibilities

• Defining detailed experimental steps.
• Conducting experiments
• Reporting of results in publications
• Presentations at major conferences

Job Requirements

• PhD degree in Electrical Engineering, Computer Science or related field
• At least 3 years of relevant experiences in a similar role with hands-on experience in experimental building and testing of circuits, including experience gained during PhD
• Familiarity with neuromorphic computing and AI models
• Good written and oral communication skills, with papers published in leading conferences or journals
• Entry level candidates are welcome to apply

We regret to inform you that only shortlisted candidates will be notified.

Hiring Institution: NTU