Research Assistant, School of Computing

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

Job Title: Research Assistant, School of Computing

University-Level Unit: School of Computing

Faculty/Department-Level Unit: Department of Computer Science

Employee Category: Research Staff

Location_ONB: Kent Ridge Campus

Posting Start Date: 20/04/2026

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). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

We invite applications for a Research Assistant position focused on AI-driven Identity & Access Management (IAM) and Cybersecurity. The successful candidate will work on advanced AI systems for identity security, addressing challenges in anomaly detection, adaptive authentication, and explainable threat intelligence.

Key Responsibilities

• Design and develop AI-driven models for identity security and access-control analytics.
• Build generative modeling pipelines (e.g., GANs, diffusion models) to synthesize realistic malicious or anomalous login behaviors for robust model 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 on resource-constrained platforms.
• Develop explainable AI pipelines, including retrieval-augmented generation (RAG)–based systems that justify access decisions.
• Integrate models into end-to-end systems spanning edge devices, containers, and cloud platforms.
• Conduct experimental evaluation, benchmarking, and system-level testing.
• Contribute to research publications, technical reports, and prototype deployments.

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
• Strong programming proficiency in Python and C/C++.
• Solid understanding of machine learning, data analytics, and system security fundamentals.
• Experience or strong interest in cybersecurity, IAM, or authentication systems.
• Experience with generative AI techniques (GANs, diffusion models) for data synthesis.
• Familiarity with edge AI deployment and optimization (e.g., NVIDIA Jetson, ARM platforms).
• Experience with containerized or cloud-native systems (Docker, Kubernetes).
• Knowledge of model optimization and deployment frameworks (TensorRT, ONNX).
• Exposure to cloud platforms such as Google Cloud Platform (Vertex AI, BigQuery).
• Interest in explainable AI, security analytics, or AI-assisted decision support systems.
• Familiarity with tabular data modeling, anomaly detection, or security-log analysis.
• Experience with Linux environments and version control tools (e.g., Git).
• Strong analytical thinking, problem-solving skills, and research motivation

More Information

Location: Kent Ridge Campus

Organization: School of Computing

Department : Department of Computer Science

Employee Referral Eligible: No

Job requisition ID : 32553

Req ID: 32553