Postdoc - AI Training Algorithms for Neuromorphic Systems

ntu; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

NTU is seeking a Postdoctoral Fellow to lead research on AI training algorithms focused on post-digital hardware. The role targets numerical and local learning algorithms beyond backpropagation in neuromorphic computing.

You will design experiments, run them, and publish findings in top conferences and journals. The successful candidate will hold a PhD in a related field, have ≥3 years of hands-on AI experience, and communicate complex results effectively.

Qualifications

• PhD required 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.
• Good written and oral communication; publications in leading conferences/journals.

Responsibilities

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

Skills

AI algorithms

Neuromorphic computing

Publications

Education

PhD in Electrical Engineering, Computer Science or related field

Job description

NTU is seeking a Postdoctoral Fellow to lead research on AI training algorithms focused on post-digital hardware. The role targets numerical and local learning algorithms beyond backpropagation in neuromorphic computing.

You will design experiments, run them, and publish findings in top conferences and journals. The successful candidate will hold a PhD in a related field, have ≥3 years of hands-on AI experience, and communicate complex results effectively.