Toyota Research Institute (TRI) is looking to improve the quality of human life and amplify the human experience through new tools and capabilities. This internship specifically aims to advance collective well-being for people and the planet by enabling decisions through human-AI technology, focusing on generative human modeling and its alignment with human perspectives.
Requirements
- Publication record in relevant topics. Specific areas include: LLMs and alignment and benchmarking, computational human modeling and understanding.
- Experience with Python programming and DL frameworks like Pytorch.
- Interest in human-centered research (e.g. behavioral data science, computational social science, human-computer interaction), including qualitative and/or quantitative methods such as experiments and user studies.
Responsibilities
- Perform research and publish in a relevant venue.
- Take ownership of the project from project inception and ideation to validation of the developed methods.
- Collaborate cross-functionally with researchers in multiple fields to research and develop technology that leverages generative AI to understand human behavior.
Other
- Ph.D. Student in related fields - AI/ML, computer science, computational social science, or related field
- Excellent communication and teamwork skills.
- Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position.
- This is a Summer 2026 paid 12-week internship opportunity.
- Please note that this internship will be a hybrid in-office role.
