Research Associate/ Fellow (AI for Cybersecurity - Automatic Agentic Penetration Testing)
NATIONAL UNIVERSITY OF SINGAPORE
Singapore, Singapore
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Phd in computer science
Machine learning and deep learning expertise
Python programming proficiency
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The National University of Singapore is seeking a Research Fellow for a project focused on AI-driven automatic penetration testing within its Institute of Data Science. The ideal candidate should possess a PhD in Computer Science with a specialization in cybersecurity or AI and a strong publication record, along with programming expertise.
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Job Summary
The role involves conducting in-depth research to develop novel AI algorithms for automated penetration testing.
Candidates will collaborate with researchers and practitioners to translate research outcomes into practical tools for real-world users.
The position requires a strong publication track record in top-tier international conferences and journals.
Matching Summary
Match Score: 75
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The National University of Singapore is seeking a Research Fellow for a project focused on AI-driven automatic penetration testing within its Institute of Data Science. The ideal candidate should possess a PhD in Computer Science with a specialization in cybersecurity or AI and a strong publication record, along with programming expertise.
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Skills & Requirements
Must-have
PhD in Computer Science
Machine learning and deep learning expertise
Python programming proficiency
Cybersecurity application knowledge
PyTorch or TensorFlow experience
Nice-to-have
Reinforcement learning background
LLM and agent development skills
Strong publication record
Excellent oral presentation skills
Collaboration with industry partners
Key Requirements
PhD in Computer Science
Specialization in cybersecurity, machine learning, or AI