Postdoc: AI Training Algorithms for Neuromorphic Hardware

Nanyang Technological University, Singapore (NTU Singapore); Singapore; On-site; SGD 72,000 - 108,000; Full time

Job summary

NTU Singapore's School of Electrical and Electronic Engineering invites applications for a Postdoctoral Fellow to lead research on AI training algorithms. The role focuses on developing AI algorithms, especially for training, aimed at post-digital hardware, including numerical and local learning beyond backpropagation.

Responsibilities include designing detailed experimental steps, conducting experiments, reporting results in publications, and presenting at major conferences.

Qualifications

• PhD in Electrical Engineering, Computer Science or related field.
• At least 3 years of relevant experience with hands-on AI algorithms.
• Familiarity with neuromorphic computing and AI models.
• Strong written and oral communication skills with publications in leading conferences or journals.
• Entry level candidates are welcome to apply.

Responsibilities

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

Skills

AI algorithms

Neuromorphic computing

Research publishing

Communication skills

Education

PhD in Electrical Engineering, Computer Science or related field

Job description

NTU Singapore's School of Electrical and Electronic Engineering invites applications for a Postdoctoral Fellow to lead research on AI training algorithms. The role focuses on developing AI algorithms, especially for training, aimed at post-digital hardware, including numerical and local learning beyond backpropagation.

Responsibilities include designing detailed experimental steps, conducting experiments, reporting results in publications, and presenting at major conferences.