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Research Intern - Interactive Multimodal Futures Group (Situated, Social & Ubiquitous Computing) is a research internship where interns collaborate with doctoral candidates and researchers to advance research and development. During this twelve-week internship, you will design and implement research prototypes for real-time situated and adaptive interaction. Your daily work involves exploring generative AI techniques to interpret multimodal interaction, conversation, and behavioral signals. You will conduct user studies, analyze multimodal data, and contribute to publications. Key technical requirements include experience with ML frameworks like PyTorch, computer vision, and real-time interactive systems. You will work with large datasets involving text, vision, and physiology, potentially using wearable devices. The role focuses on solving problems in human-computer interaction, human-robot interaction, and affective computing through human-centered design and research methods.
Design and implement research prototypes for real-time situated and adaptive interaction.
Explore generative AI techniques to interpret multimodal interaction, conversation, and behavioral signals.
Conduct user studies and analyze multimodal data.
Contribute to peer-reviewed publications and share findings with the research community.
Evaluate different personality styles for AI agents to study impacts on user experience and trust.
Prototype real-time conversational AI agents using tools like the OpenAI Realtime API.
Collect and process large datasets including text, vision, physiology, and behavioral data.
What we're looking for
Currently enrolled in a Doctorate degree program in HCI, HRI, Computer Science, Cognitive Science, Robotics, Electrical Engineering, Psychology, or a related STEM field.
2+ years of research experience using human-centered approaches in HCI, HRI, ML, CV, Ubiquitous Computing, or Affective Computing.
Experience writing peer-reviewed publications.
Experience with generative AI techniques, ML frameworks like PyTorch, and real-time interactive systems.
Experience implementing research prototypes for frontend, backend, or both.
Experience conducting human-subjects research and using human-centered design and research methods.
Experience with reinforcement learning, time-series signal processing, or working with large datasets (text, vision, physiology, behavioral).
Experience collecting data with wearable devices or prototyping real-time conversational AI agents using tools like the OpenAI Realtime API (preferred).
Machine Learning
Natural Language Processing
Reinforcement Learning
Foundation Models
Artificial Intelligence
Human-AI Interaction
Computational Social Science
User Modeling and Simulation
Continual Learning
Large Language Models
Vision Language Models
Stable Diffusion
TypeScript
Node.js
React
Agentic Workflows
Human-Computer Interaction
Software Architecture
Multimodal Interaction
UX) research
Storyboarding
Video Techniques
Python
PyTorch
Machine Learning
Natural Language Processing
Computer Vision
Multimodal AI
Large Language Models
Vision-Language Models
Document Intelligence
Deep Learning
AI Systems
Prototypes
Python
Large Language Models
retrieval-augmented-generation
Graph Machine Learning
Computer Vision
Statistics
Matrix Analysis
Probability
Machine Learning
Graph Theory
Computer Science