LLM-Driven Multi-Agent Social Simulation Intern

Honda Ri; San Jose (CA); On-site; USD 34,000 - 62,000; Full time

Job summary

Honda Research Institute USA is seeking a Research Intern to develop next-generation social and multi-agent simulation methods using state-of-the-art AI techniques, including large language model agents.

The internship will focus on building computational frameworks that simulate human social behavior and group interaction at scale, enabling the study of coordination, cooperation, communication, social reasoning, and norm formation.

Qualifications

• Current Ph.D. student in Computer Science, Computational Social Science, Cognitive Science, HCI, or a related field.
• Strong programming skills in Python.
• Experience with large language models, NLP, MARL, machine learning, or agent-based modeling.
• Solid background in experimental design, model evaluation, and data analysis.
• Familiarity with multi-agent systems, social simulation, computational modeling of human behavior, or human-AI interaction.

Responsibilities

• Develop LLM-agent and multi-agent simulation environments for modeling social interaction and collective behavior.
• Design agent architectures, social reasoning mechanisms, communication strategies, and interaction protocols for multi-agent social settings.
• Incorporate behavioral theory and social science constructs into simulation design, such as cooperation, communication, social influence, role dynamics, or norm emergence.
• Build evaluation pipelines to assess realism, robustness, and the plausibility of mechanisms underlying simulated behavior against human data or established theory.
• Analyze emergent behaviors and interaction dynamics in simulated populations under different social, environmental, or policy conditions.
• Conduct experiments and ablation tests on agent behavior, interaction dynamics, and simulation validity.
• Document findings in the form of technical reports, research prototypes, and publication-ready materials.

Skills

Python programming

NLP

MARL

Agent-based modeling

Experimental design

Data analysis

Education

PhD student in CS/related field

Job description

Honda Research Institute USA is seeking a Research Intern to develop next-generation social and multi-agent simulation methods using state-of-the-art AI techniques, including large language model agents.

The internship will focus on building computational frameworks that simulate human social behavior and group interaction at scale, enabling the study of coordination, cooperation, communication, social reasoning, and norm formation.