We are seeking to appoint a Research Associate who will contribute to NTU's mission of advancing system security, privacy-preserving computing, and intelligent vulnerability analysis. The ideal candidate will provide strategic research support in bridging low-level system architecture with AI-driven security solutions. This role requires strong expertise in developing formally verified confidential computing environments, optimizing machine learning architectures for secure inference, and building multi-agent pipelines for protocol specification analysis. By driving these interdisciplinary efforts, the appointed researcher will play a pivotal role in NTU's strategic initiatives to build trustworthy, resilient, and efficient computing ecosystems, while fostering innovative collaborations across academia and industry.
Key Responsibilities:
Conduct cutting-edge research at the intersection of system security, privacy-preserving computing, and intelligent vulnerability analysis.
Design and implement formally verified, hardware-assisted isolation environments for confidential cloud computing.
Formulate optimization strategies for machine learning architectures to enable high-performance secure inference.
Develop multi-agent frameworks driven by large language models to systematically analyze protocol specifications and predict implementation vulnerabilities.
Collaborate with academic and industry partners to translate advanced security paradigms into real-world applications.
Prepare and co-author high-quality research papers for premier venues in security, systems, and software engineering.
Contribute to proposal writing and grant applications in hardware-software co-design and AI-driven security.
Support the supervision and mentorship of undergraduate and postgraduate students in related projects.
Assist in building experimental platforms and validation datasets for protocol analysis and confidential computing frameworks.
Requirements:
Masters degree in Computer Science, Cyber Security, or a related discipline.
Research or applied experience in system security.
Experience with privacy-preserving machine learning, AI-driven vulnerability analysis, and vulnerability detection tools.
Knowledge of cryptographic protocols such as Multi-Party Computation.
Proficiency in programming languages such as Python, C/C++, and Java.
Strong academic writing and publication track record, with contributions to international conferences (e.g., ICSE).
Strong analytical and problem-solving skills, particularly in bridging low-level system architectures.
Proficiency in experimental design, evaluation benchmarks, and reproducibility of results.
Excellent communication and collaboration skills in multidisciplinary teams.
Ability to mentor and support students in research activities and software projects.
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU