Research Fellow (AI for Cybersecurity - Automatic Agentic Penetration Testing)

National University of Singapore; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A leading research institution in Singapore is seeking a Research Fellow to advance AI methods for cybersecurity. Responsibilities include developing algorithms, conducting independent research, and collaborating with industry partners. The ideal candidate holds a PhD in Computer Science and has a strong publication record in machine learning and AI, with experience in software engineering. Competitive compensation and opportunities for real-world impact are offered.

Qualifications

• Proven ability to conduct independent research with a strong publication record.
• Prior AI expertise with a publication track record in machine learning.
• Knowledge and interest in cybersecurity applications.

Responsibilities

• Develop new concepts and algorithms in data science and AI for cybersecurity.
• Work in a fast-paced research environment.
• Contribute to knowledge exchange with external partners.

Skills

Machine learning

Data science

Artificial intelligence

Software engineering

Interpersonal communication

Education

PhD in Computer Science

Tools

Python

PyTorch

TensorFlow

Job description

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

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.