Postdoctoral / Research Fellow (AI accelerators)
At a glance
Mid-level AI Research role at Ntu. NTU Main Campus · full-time.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Plan the experimental steps for research on neuromorphic circuits and systems
- Build and test crossbar circuits or other architectures using post-CMOS devices
- Run experiments on accelerators aimed at AI training, real-time optimization and similar computing problems
- Publish research results and present your findings at major conferences
What you bring
- A PhD in electrical engineering, computer science or a related discipline
- At least three years in a comparable role, including hands-on circuit building and testing during your PhD
- Familiarity with neuromorphic computing and AI models, plus strong written and spoken communication
- Published papers in leading conferences or journals
Who this fits
This role suits researchers focused on experimental neuromorphic circuits and hardware accelerators. The position is based at NTU Main Campus in Singapore. Entry-level candidates are also welcome to apply.
From the employer
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