The Research Associate will perform cutting-edge research on AI-centered cybersecurity, including but not limited to the following domains: Trusted Execution Environments (TEE) based and/or cryptographic enabled confidential AI computing, trustworthy AI such as information leaks of AI models, backdoor threats to AI, etc., and application of AI technologies for security protection such as carrier-network protection, software vulnerability analysis, etc. The candidate will work closely with the research team to advance existing work, propose innovative solutions, and integrate security protection into AI and machine learning frameworks and systems.

Key Responsibilities:

• Perform research on AI-centered cybersecurity techniques.
• Develop innovative methods to enhance security and privacy protection for AI systems or for other computing systems using AI.
• Collaborate with researchers around the world to integrate protection into real-world systems and AI models.
• Analyze and interpret experimental results.
• Prepare and publish high-impact research at top venues (e.g., S&P, USENIX Security, CCS, NDSS etc.)

Job Requirements:

• A Master's degree in Computer Science, AI, Cybersecurity, Mathematics, or a related field with a strong foundation in AI/ML and quantitative methods.
• Outstanding academic record from a leading university.
• Prior work in cybersecurity or trustworthy AI is highly preferred.
• Publications in top-tier security or AI/ML venues are a strong advantage.
• Proficiency in programming and experience with security or AI.
• Strong analytical rigor, problem-solving ability, and teamwork to collaborate with world-class researchers

We regret that only shortlisted candidates will be notified.