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

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

National University of Singapore – Queenstown

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

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

More Information

Location : Kent Ridge Campus

Organization : Institute of Data Science

Department : Institute of Data Science

NUS is an equal opportunities employer.

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