Research Associate (Computer Science / Cyber Security)
Core
Conduct research at the intersection of system security, privacy-preserving computing, and intelligent vulnerability analysis to build trustworthy computing ecosystems.
Role type
Research Associate (System Security & AI)
Builds
Formally verified confidential computing environments, optimized secure ML inference architectures, and multi-agent protocol analysis frameworks.
Domain
Computer Science / Cyber Security / AI
Deliverable
production ML models | research
Required skills
System security research, privacy-preserving machine learning, AI-driven vulnerability analysis, cryptographic protocols (MPC), Python, C/C++, Java, academic publication, experimental design, reproducibility, student mentorship
Preferred skills
Hardware-software co-design, large language models for protocol analysis, grant writing
Technologies
Python, C/C++, Java, Multi-Party Computation, Large Language Models
Responsibilities
Design and implement formally verified hardware-assisted isolation environments; formulate optimization strategies for secure ML inference; develop multi-agent frameworks for protocol specification analysis; co-author high-quality research papers; contribute to proposal writing and grant applications; support supervision of undergraduate and postgraduate students; assist in building experimental platforms and validation datasets.
Seniority
Mid-level, hands-on IC with research focus