AI Cybersecurity Researcher
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Summary
An AI Cybersecurity Researcher at Concordia AI researches how AI and cybersecurity intersect: designing benchmarks for large models and AI agents, studying automated offensive and defensive techniques, modeling AI-enabled cyber risk, and integrating security evaluations into client-facing platforms. Work centers on Python plus C/C++/Go/Java, security fundamentals, and LLM/agent APIs.
You will research the intersection of AI and cybersecurity. You will develop AI cybersecurity benchmarks, investigate automated offensive and defensive techniques, model AI-enabled cyber risks, create mitigation frameworks, and integrate security capabilities into evaluation platforms and services.
Responsibilities
- Design and build cybersecurity capability and safety benchmarks for large models and AI agents
- Curate evaluation datasets and write automated benchmark execution code
- Research AI-driven vulnerability discovery, attack-chain generation, malicious-request detection, and vulnerability patching
- Investigate defenses for model services, agent frameworks, and multi-agent systems
- Build quantitative risk models for AI misuse in cyberattacks
- Evaluate the offense-defense balance and propose risk-mitigation frameworks
- Integrate cybersecurity benchmarks, automated offense-defense frameworks, and risk modeling into platforms and evaluation services
- Conduct cybersecurity evaluations and security hardening for client AI systems
Requirements
- Bachelor’s degree or above
- Scientific reasoning and engineering execution
- Data structures and algorithms
- Python
- C, C++, Go, or Java
- Operating systems
- Computer networks
- Cybersecurity
- Web vulnerabilities
- OWASP Top 10
- Penetration testing
- Large-model and AI-agent architectures
- Large-model API usage
- Harness development
- Technical writing
- Chinese reading, writing, and spoken communication