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Headquartered in Singapore, Nanyang Technological University is a premier public research university recognized globally for its excellence in science, engineering, business, and medicine. The institution features state-of-the-art research facilities and interdisciplinary programs dedicated to driving technological innovation, artificial intelligence, and sustainability. Consistently ranked among the world's top academic institutions, it nurtures future leaders and fosters impactful collaborative research across global industries.

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 yearsof relevant experiences in a similar rolewith 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
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