Human-Centered AI Intern, Computational Social Science

Role Overview

• Scope a research project to align with our Harmonious Communities Computational Social Science efforts.
• Examine how to link multi-order systems impact of present changes.
• Be the primary driver of the technical plan (e.g., study design, analysis plan) with regular feedback from your mentor and teammates.
• Implement and complete the project using TRI resources.
• Present the project's approach and findings in research meetings to the Harmonious Communities Department, the HCAI Division, and TRI, as well as to partners from Toyota business groups.
• Our goal is that you end the summer with work that informs internal strategy and may be publishable in an academic journal or conference.

Requirements

• Enrolled in a PhD degree program.
• Track record of implementing research projects from start to finish.
• Experience handling messy, large-scale observed data for both analytical modeling and systems engineering purposes.
• Ability to reason across multiple levels of analysis and translate research insights into implications for organizational decision-making.
• Interest in theory development or integrative modeling.
• Comfort working with imperfect, real-world data and balancing rigor with practical constraints.
• Desire to work on challenging, open-ended research projects.
• Desire to be part of a highly interdisciplinary team, and an understanding of how this will improve your work.
• Demonstrated ability to work autonomously while soliciting feedback
• Interested in the topic space of wellbeing, organizational behavior, and behavior change.

Benefits

• medical
• dental
• vision insurance
• paid time off benefits (including holiday pay and sick time)