Intern in Human-Centered AI developing tools to enhance collective wellbeing. Engaging in interdisciplinary research projects and collaborating with diverse teams.
Responsibilities
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)
Job title
Human-Centered AI Intern, Computational Social Science
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