AI Cybersecurity Research Fellow: Automated Pen Testing

National University of Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

The National University of Singapore is looking for a Research Fellow in AI for Cybersecurity specializing in automatic agentic penetration testing. The role involves conducting advanced research in machine learning, developing novel algorithms, and collaborating with industry stakeholders. Required qualifications include a PhD in Computer Science, proven research capability, AI expertise, and proficiency in Python and relevant ML frameworks. This position is located at Kent Ridge Campus, appealing to candidates with a strong publication track record and interest in cybersecurity applications.

Qualifications

• PhD in Computer Science with specialization in cybersecurity, machine learning, or artificial intelligence.
• Proven ability to conduct independent research and a relevant publication record.
• Knowledge and interest in cybersecurity applications such as penetration testing.

Responsibilities

• Develop new concepts and algorithms for cybersecurity and automated penetration testing.
• Work in a fast-paced research environment.
• Collaborate with stakeholders to translate research into practical tools.

Skills

Independent research capability

Strong publication record

AI expertise

Proficiency in Python

Software engineering

Interpersonal communication

Education

PhD in Computer Science

Tools

PyTorch

TensorFlow

Job description

Job Title: Research Associate/ Fellow (AI for Cybersecurity - Automatic Agentic Penetration Testing)

University-Level Unit: Institute of Data Science

Faculty/Department-Level Unit: Institute of Data Science

Employee Category: Research Staff

Location_ONB: Kent Ridge Campus

Posting Start Date: 11/05/2026

Overview

We are looking to recruit a Research Fellow for the project “AI for Cybersecurity – Automatic Agentic Penetration Testing”, which will be hosted at the Institute of Data Science (IDS), National University of Singapore (NUS) and led by Prof Ng See Kiong. This project advances state-of-the-art AI methods to create effective AI agents for automated penetration testing. Selected candidates will contribute to deep AI research as well as focused translational work and system development for real-world users and industry partners.

Only shortlisted candidates will be notified. Please include links to your GitHub repositories showcasing your best project relevant to these topics in your CV/cover letters.

Job Description

Job Summary: The Research Fellow will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on cybersecurity that leads to publications in top-tier international conferences and journals, as well as real-world implementations. The role includes designing novel algorithms, building robust software systems, and collaborating with stakeholders to translate research into practical tools and workflows. Candidates will be working alongside researchers and practitioners in AI, cybersecurity, and software engineering.

Responsibilities

• Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for cybersecurity and automated penetration testing.
• Ability to work in a face-paced research environment.
• Be up to date on state-of-the-art methodologies in related technical fields and application domains.
• Develop ideas for application of research outcomes.
• Contribute to knowledge exchange activities with external partners and collaborators.
  
  

Requirements

• PhD in Computer Science, with specialization related to cybersecurity, machine learning, data mining or artificial intelligence.
• Proven ability to conduct independent research with a strong and relevant publication record.
• Prior AI expertise with a strong publication track record in areas such as machine learning, deep learning, reinforcement learning or LLMs/agents.
• Knowledge and demonstrable interest in cybersecurity applications (e.g., penetration testing, vulnerability discovery).
• Proficiency in programming and software engineering (Python preferred), including experience with ML frameworks (e.g., PyTorch, TensorFlow).
• Excellent interpersonal communication and oral presentation skills in English.
  
  

More Information

Location: Kent Ridge Campus

Organization: Institute of Data Science

Department : Institute of Data Science

Employee Referral Eligible: No

Job requisition ID : 30977

Req ID: 30977