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Research Intern: Computational Social Science

Honda Research Institute USA
San Jose, CA

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Job Details

Internship

Qualifications

AI models
Statistics
Computational research
Statistical analysis for research
Computational modeling
Collaborative research
Artificial intelligence research

Full Job Description

Job Number: P25INT-45

Honda Research Institute USA (HRI-US) is seeking a computational social scientist intern with experience in modeling human and community behavior using AI, and in studying the impacts of AI on society. The successful candidate will contribute to research by developing AI models of individuals and communities that simulate complex behaviors across modalities, supported by rich community-level data such as mobility trajectories, census data, and survey responses. The candidate will contribute to the development and evaluation of computational and machine learning models, analyze complex behavioral and mobility datasets, and apply societal-scale simulations to inform decision-making in domains such as technology rollout. The position will also entail conducting impact analyses from the individual to the community level using robust counterfactual evaluation methods.

San Jose, CA

Key Responsibilities

Develop and evaluate machine learning and computational modeling approaches for studying communities, social behavior, and mobility patterns.
Analyze multimodal behavioral data and community mobility data using statistical and causal inference methods.
Apply counterfactual explanation methods to support interpretation of model outputs and research findings.
Contribute to research on the societal impacts of generative AI.
Assist with brainstorming and refining research ideas related to ongoing project goals.
Lead the preparation of manuscripts, figures, analyses, and other research outputs for publication.

Minimum Qualifications

Currently enrolled as a Ph.D. candidate in Computer Science or a related field.
Strong background in machine learning, computational modeling, and data-driven research methods.
Experience applying statistical methods, causal inference, and counterfactual explanation approaches.
Experience working with complex datasets relevant to human behavior, communities, or mobility patterns.
Demonstrated ability to conduct independent research and contribute to collaborative research projects.

Bonus Qualifications

Research experience related to AI models of communities, computational social science, or social behavior modeling.
Experience working with multimodal behavioral data or community mobility datasets.
Familiarity with research on the societal impacts of generative AI.
Experience contributing to manuscripts for publication.
Publication record in high-impact journals or conferences such as AAAI, IJCAI, AAMAS, KDD, or CHI.

Years of Work Experience Required

Desired Start Date

9/21/2026

Internship Duration

3 Months

Position Keywords

Computational Social Science, Human Behavior Modeling, Community Simulation, Generative AI, Causal Inference

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intern computational sciences jobs

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