Research Fellow - AI-Driven Binary Analysis & Security

Nanyang Technological University Singapore; Singapore; On-site; SGD 60,000 - 85,000; Full time

Job summary

An elite research university in Singapore is looking for a Research Fellow to advance innovative research in software engineering and cybersecurity. The selected candidate will play a key role in the Desay SV Transfer Project, working on automated open-source component detection and fuzz testing for automotive software systems. Strong programming skills in Python and/or C/C++, along with a PhD in relevant fields, are essential. This position requires collaboration with academic and industry teams, offering the opportunity to transform research into high-performance solutions.

Qualifications

• PhD in Computer Science, Software Engineering, AI, or related field.
• Strong research track record in software engineering, AI for code, software security.
• Experience in program analysis, intelligent software systems, or LLM-based code intelligence.
• Strong programming skills in Python and/or C/C++.
• Ability to work independently and collaboratively.

Responsibilities

• Develop and optimize automated binary analysis and component detection systems.
• Design and enhance emulation-based fuzz testing frameworks.
• Apply AI and LLM techniques to improve program analysis and vulnerability assessment.
• Support system integration, benchmarking, deployment, and technical documentation.

Skills

Program analysis

AI for code

Software security

Python

C/C++

Education

PhD in Computer Science, Software Engineering, or AI

Job description

An elite research university in Singapore is looking for a Research Fellow to advance innovative research in software engineering and cybersecurity. The selected candidate will play a key role in the Desay SV Transfer Project, working on automated open-source component detection and fuzz testing for automotive software systems. Strong programming skills in Python and/or C/C++, along with a PhD in relevant fields, are essential. This position requires collaboration with academic and industry teams, offering the opportunity to transform research into high-performance solutions.