Postdoctoral / Research Fellow (AI Algorithms)

Nanyang Technological University; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

NTU Singapore invites applications for a Postdoctoral Fellow to lead research on AI training algorithms, with a focus on post-digital hardware and neuromorphic computing. The role emphasizes developing numerical and local learning methods beyond backpropagation and reporting results through publications.

Entry level candidates are welcome to apply; the position requires a PhD and hands-on AI experience. The lab values clear communication and successful conference presentations.

Qualifications

• PhD required in a relevant 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 with publications.

Responsibilities

• Defining detailed experimental steps.
• Conducting experiments and reporting results in publications.
• Presentations at major conferences.

Skills

AI training algorithms

Neuromorphic computing

Strong communication

Education

PhD in Electrical Engineering, Computer Science 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 AI training algorithms. The role will focus on developing AI algorithms (especially for training) aimed at post-digital hardware. Specifically, the project targets numerical and local learning algorithms beyond backpropagation.

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 AI algorithms, 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

A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top15 most beautiful university campuses in the world and has 57 Green Mark‑certified (equivalent to LEED‑certified) buildings, of which 95% are certified Green MarkPlatinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech‑enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg

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