What are the responsibilities and job description for the Social Cognition and Meta-Learning for Human–AI Collaboration position at Honda Research Institute USA?
Job Number: P24INT-52
Honda Research Institute USA (HRI-US) is seeking a research intern to explore the algorithmic modeling of human behavior in the context of meta-learning for human–AI teaming. This internship focuses on enabling AI agents to develop theory of mind–like capabilities—inferring human intentions, roles, and strategies from limited interactions—and leveraging these insights to adapt rapidly in ad-hoc collaborative settings. The project emphasizes computational models of social reasoning and behavioral inference, to ground meta-learning frameworks that allow agents to self-adjust and align with evolving team dynamics.
San Jose, CA
Key Responsibilities
- Design and evaluate algorithms that model human behavior.
- Integrate behavioral insights into meta-learning frameworks to support adaptive human–AI teaming.
- Collaborate with researchers across AI, cognitive science, and related disciplines.
- Contribute to a portfolio of patents, academic publications, and prototypes to demonstrate research value.
Minimum Qualifications
- Currently enrolled as a Ph.D. student in Computer Science, Cognitive Science, Robotics, Machine Learning or related fields at a reputed university, with strong interest in computational models of social behavior (exceptional M.S. candidates with a minimum of 1 year of research experience may also be considered).
- Strong familiarity with human behavior understanding, meta learning and modern foundation model training techniques.
- Experience in open-source deep learning frameworks (PyTorch, Tensorflow, JAX, etc.)
Bonus Qualifications
- Experience with multi-agent settings and multimodal LLMs.
Years of Work Experience Required
0
Desired Start Date
1/5/2026
Internship Duration
3 Months
Position Keywords
Human behavior understanding, meta-cognitive AI
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