Research Intern - MSR AI Interaction and Learning
Core
Conduct research in AI interaction and learning areas such as Foundation Models, Reinforcement Learning, and Human-AI Collaboration alongside doctoral candidates and senior researchers.
Role type
Research Intern (PhD level)
Builds
Research findings and prototypes for AI interaction and learning systems
Domain
Artificial Intelligence, Machine Learning, Computer Science
Deliverable
research
Required skills
conducting research, writing peer-reviewed publications, software development
Preferred skills
thinking unconventionally, deriving creative and innovative solutions
Technologies
Foundation Models, Reinforcement Learning, Multi-Objective Optimization, Natural Language Processing, Deep Learning, Interactive Learning, Agents, Causal Reasoning, Computational Social Science, Computational Economics, Human-AI Collaboration
Responsibilities
collaborate with mentors and other researchers, present findings, contribute to the research community
Seniority
Intern, PhD candidate
