We are seeking to appoint a Research Associate who will contribute to NTU's mission of advancing software security and intelligent software engineering, with a focus on automated program repair (APR), vulnerability detection, and LLM-powered code generation. With experience in developing multi-agent repair systems, integrating program analysis with LLMs, and exploring vulnerability detection frameworks, the candidate brings strong expertise in trustworthy AI-driven software maintenance. The role will support NTU's strategic initiatives in building secure and reliable software ecosystems, while fostering collaborations across academia and industry.

Key responsibilities:

• Conduct research on automated program repair (APR) using large language models (LLMs) integrated with program analysis techniques.
• Design and implement multi-agent frameworks for vulnerability detection, patch generation, and repair validation.
• Explore methods for combining static and dynamic analysis with LLM reasoning for enhanced bug comprehension and patch correctness.
• Collaborate with academic and industry partners on projects in software security and intelligent software engineering.
• Prepare and co-author high-quality research papers in premier venues (e.g., ICSE, FSE, ASE).

Requirements:

• A Masters degree in Computer Science, Cyber Security, or a related discipline.
• Research or applied experience in software security, automated program repair (APR), or AI for software engineering.
• Experience with LLM-based code generation, program repair frameworks, and vulnerability detection tools.
• Knowledge of program analysis techniques, including static and dynamic analysis methods.
• Proficiency in programming languages such as Python, C/C++, and Java.
• Familiarity with software debugging, vulnerability analysis, and program comprehension techniques.

We regret to inform that only shortlisted candidates will be notified.