Master Thesis: Design and Evaluation of Red-Blue Teaming with AI Agents

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Cybersecurity

In short

Ericsson Research is offering a Master's thesis position in Stockholm, Sweden, focused on designing and evaluating AI-driven Red-Blue Teaming systems for cybersecurity. The role involves investigating AI agent design for offensive and defensive operations, optimal architectures, and evaluation frameworks, culminating in a written thesis.

Responsibilities

Design and implement AI agents for red team attack strategies and blue team defense responses.
Investigate effective architectures for AI-driven cybersecurity tasks.
Define and use structured evaluation scenarios and metrics to measure the effectiveness of red-blue teaming agents.
Analyze results and document findings in a Master's thesis.

Requirements

Enrolled in a Master's program in Computer Science, Cybersecurity, Machine Learning, or an equivalent field.
Strong programming skills.
Interest in cybersecurity, machine learning, and AI agent systems.
Strong analytical, problem-solving, and technical communication skills.

Desired Qualifications

Experience with agentic AI frameworks is considered a plus.
Relevant project experience is highly valued.
Technical reports written by you (school assignments, blog posts) may be included as supporting material.

Benefits

Opportunity to work with a world-class research team.
Be part of an international team with diverse expertise.
Gain experience in cutting-edge AI and cybersecurity research.
Empowered to learn, lead, and perform at your best.

Skills

CybersecurityMachine LearningAI agent systemsProgrammingAnalytical skillsProblem-solvingTechnical communication

#AI Agents#Red Teaming#Blue Teaming#Cybersecurity#Machine Learning#Master Thesis#Research

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