Technical practice
How would you design a scalable binary analysis framework for automotive software?
What to coverThe role calls for developing and optimizing scalable binary analysis. Preparation suggestion: explain how you would structure analysis stages, handle large collections of binaries, and measure throughput against analysis quality.
How would you detect open-source components in a binary when source code is unavailable?
What to coverAutomated open-source component detection is a central project focus. Preparation suggestion: discuss candidate matching signals, how compiler changes could affect them, and how you would assess false matches and missed components.
How would you improve emulation-based fuzz testing for an embedded MCU or SOC?
What to coverThe posting calls for enhancing emulation-based fuzz testing in embedded environments. Preparation suggestion: explain how you would identify emulation gaps, preserve useful device behavior, and balance fidelity against test throughput.
How would you evaluate whether an embedded fuzzing framework is finding useful security issues?
What to coverThe role includes fuzz testing and vulnerability assessment. Preparation suggestion: discuss suitable measures such as execution progress, reproducible failures, and the effort required to distinguish security-relevant findings from noise.
How would you build an automated security testing pipeline around binary analysis and fuzzing?
What to coverAutomated security testing pipelines for MCU and SOC platforms are explicitly part of the role. Preparation suggestion: describe how analysis outputs could feed test selection, how results would be retained for investigation, and where automation needs human review.
Where could AI or LLM techniques improve program understanding and analysis?
What to coverThe posting calls for AI-driven program understanding and LLM-based improvements to program analysis. Preparation suggestion: identify a bounded task, the program evidence a model would use, and how you would compare its output with a non-LLM approach.
How would you use an LLM to assist vulnerability assessment without over-trusting its conclusions?
What to coverLLM-based techniques and vulnerability assessment are both stated responsibilities. Preparation suggestion: distinguish a model-generated lead from a verified finding, and explain how code or binary evidence and reproducible tests could support validation.
How would you benchmark a research prototype before translating it into an industrial solution?
What to coverThe fellow will support benchmarking and turn research prototypes into high-performance solutions aligned with industrial requirements. Preparation suggestion: define representative workloads and baselines, then discuss trade-offs among detection quality, runtime, and resource use.
What would you check when integrating and deploying these research systems?
What to coverSystem integration and deployment are listed responsibilities. Preparation suggestion: discuss interface compatibility, repeatable operation, failure handling, and the technical documentation needed for others to use and maintain a solution.
How would you divide implementation work between Python and C or C++?
What to coverThe requirements name strong Python and/or C/C++ programming skills, and the work includes performance-sensitive analysis systems. Preparation suggestion: explain trade-offs involving iteration speed, runtime performance, and maintainability without assuming a particular language stack is prescribed.
Behavioural practice
Tell me about a time you worked independently on an open-ended research problem.
What to coverThe role requires independent work in a research setting. Preparation suggestion: use a real situation, the decisions and actions you took without close direction, and a concrete result or lesson.
Describe a time you collaborated with researchers and engineers who had different priorities.
What to coverThe posting emphasizes joint academic–industry work. Preparation suggestion: give a real example of the differing priorities, how you resolved or managed them, and what the collaboration produced.
Tell me about a time you moved a research idea or prototype toward practical use.
What to coverTranslating research prototypes into deployable solutions is part of this role. Preparation suggestion: explain the initial limitations, your actions to address practical constraints, and the observed result; do not imply a specific deployment process at NTU.
Describe a time you had to communicate a complex technical result to another team.
What to coverThe role includes technical documentation and collaboration with industry engineers and academic researchers. Preparation suggestion: describe the audience and situation, how you adjusted your explanation or documentation, and the outcome.
Tell me about a time an evaluation challenged your research approach.
What to coverThe posting calls for a strong research track record and support for benchmarking. Preparation suggestion: use a real example that explains the evaluation evidence, how you changed course or defended a trade-off, and the resulting finding.