Research Assistant: AI-Driven IAM & Cybersecurity

National University of Singapore; Singapore; On-site; SGD 33,000 - 56,000; Full time

Job summary

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). The role focuses on AI-driven Identity & Access Management (IAM) and cybersecurity, addressing anomaly detection, adaptive authentication, and explainable threat intelligence.

The candidate will design AI models, build generative pipelines, implement real-time IAM defenses, and deploy edge-native modules across devices and cloud

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field.
• Proven programming ability in Python and C/C++ with ML familiarity.
• Interest or experience in cybersecurity, IAM, or authentication systems.
• Knowledge of generative AI (GANs, diffusion models) for data synthesis is a plus.

Responsibilities

• Design and develop AI-driven models for identity security and access-control analytics.
• Build generative modeling pipelines to synthesize login behaviors for training.
• Implement anomaly detection and adaptive decision systems for real-time IAM defense.
• Engineer edge-native AI modules for adaptive multi-factor authentication and token validation.
• Develop explainable AI pipelines including RAG-based systems to justify access decisions.
• Integrate models into end-to-end systems spanning edge devices, containers, and cloud.
• Conduct experimental evaluation, benchmarking, and system testing.
• Contribute to research publications, technical reports, and prototype deployments.

Skills

Python

C/C++

Machine learning

Security fundamentals

IAM

Edge AI

Docker

Kubernetes

TensorRT

ONNX

Education

Bachelor’s or Master’s degree in Computer Science/Engineering or related field

Tools

Jetson

ARM platforms

Git

Cloud platforms

Job description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). The role focuses on AI-driven Identity & Access Management (IAM) and cybersecurity, addressing anomaly detection, adaptive authentication, and explainable threat intelligence.

The candidate will design AI models, build generative pipelines, implement real-time IAM defenses, and deploy edge-native modules across devices and cloud