Research Intern (Designing human-AI teams)
IRG_M3S_T6I_2025_013
Project Overview
We are seeking interns to contribute to a project on “Designing human-AI teams.” The project is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)." (https://m3s.mit.edu). Launched in 2023 as part of MIT's SMART program in Singapore, M3S applies AI and machine learning practically, addressing technology design, human skill development, and societal adaptation to AI, automation, and robotics, with the goal of creating inclusive, resilient solutions with global impact.
Interns will have the opportunity to work on a cutting-edge, interdisciplinary project that aims to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans. An important goal of the project is to develop knowledge graphs that represent the activities that can be performed by human-AI teams. These knowledge graphs will provide the basis for software tools that can automatically generate promising ways of combining humans and AI systems to perform different tasks.
Job Description
- Interns can contribute in either of two potential ways:
- assist with systematically organizing knowledge in structured ways that are logical, comprehensive, understandable, and conceptually elegant.
- assist in development of the software tools that will collect and display the knowledge about work activities that resides in the ontology.
- They will also collaborate with the project team and other researchers to
- design, implement, and evaluate research projects
- publish research results in top-tier conferences and journals
- perform other duties as needed
Job Requirements
- Currently full-time undergraduate/master/PhD student in Computer Science or related disciplines, with specialization in topics such as large language models
- Skills in one of the following:
- Familiarity with quantatitive and qualitative data analysis
- Familiarity with frontend technology design such as React, TypeScript, and Node.js
- Familiarity with machine learning pipeline, including dataset preprocessing, model building, and optimization
- Others related skills
- Excellent communication and collaboration skills
This internship is only open to full-time matriculated or registered students in the six autonomous universities Singapore. The internship must be approved by the University.