Research Fellow - Computer Science / Software Engineering / AI

About the role

NTU is seeking a Research Fellow to contribute to its mission of advancing research and industry translation in software engineering and cybersecurity. The successful candidate will work on the Desay SV Transfer Project, which focuses on industrializing automated open-source component detection and emulation-based fuzz testing for automotive software systems. The role develops scalable binary analysis frameworks, AI-driven program understanding techniques and automated security testing pipelines for embedded MCU and SOC platforms, working closely with academic researchers and industry engineers.

Key responsibilities

• Develop and optimize automated binary analysis and open-source component detection systems.
• Design and enhance emulation-based fuzz testing frameworks for embedded environments.
• Apply AI and large language model (LLM)-based techniques to improve program analysis and vulnerability assessment.
• Support system integration, benchmarking, deployment and technical documentation.

Required profile

• A PhD in Computer Science, Software Engineering, Artificial Intelligence or a related discipline.
• Strong research track record in software engineering, AI for code or software security (e.g. publications in reputable international venues).
• Experience in program analysis, intelligent software systems or LLM-based code intelligence.
• Ability to work independently and collaboratively in academia-industry joint projects.

Required skills

• Strong programming skills in Python and/or C++.