Description

Lead research into trustworthy collective intelligence and action models within multi-agent systems.

Responsibilities

• Develop action models to achieve individual and group goals in multi-agent environments.
• Conduct experiments and data analysis using synthetic simulations and real-world applications.
• Integrate early-stage in-house technologies with commercial software to build functional solutions.
• Publish research findings in top-tier scientific journals and conferences.
• Collaborate with interdisciplinary teams and academic professors to advance research goals.

Required Skills

• PhD in Computer Science or equivalent practical experience.
• 5+ years of experience in research or related technical roles.
• Expert knowledge in ML or LLM-based agents and multi-agent systems.
• Experience modeling and simulating human behavior and social interaction.
• Deep understanding of social cognition, social psychology, social trust, or cognitive security.
• Proven track record of publishing in renowned scientific journals and conferences.
• Experience with rapid prototyping and testing methodologies to validate performance.

Preferred Skills

• Experience in NLP and ML programming using Python or TypeScript.
• Ability to design and prototype applications by combining diverse tools and platforms.
• Experience integrating technologies across AI, CHI, and security domains.

Key Skills

Education

Any Graduate