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Investigating Human Preferences
CSAIL: Computer Science and Artificial Intelligence Lab
Sep 15 2020
Apply using this link: https://forms.gle/ywNrXD8he5vqZwPP9
Information from various sensory modalities is tightly coupled with each other. The sight of strawberries evokes its sweet taste, listening to vroom-vroom sound instantly conjures images of a motorbike or a car! There is plenty of evidence that humans represent the world by integrating information from multiple sensory modalities. This project aims to tease about the exact nature of these representations and explore how predictable are touch, audio, vision and taste signals are from each other. Find more about our lab: https://people.csail.mit.edu/pulkitag/ Applying using this link: https://forms.gle/ywNrXD8he5vqZwPP9
The ideal candidate will has experience in: - Running experiments involving human subjects. - Ability to code in python. - Experience with deep learning packages such as pyTorch is a big plus. Ideal candidate will be a joint student in BCS + EECS. We are open to exceptionally strong applications from either BCS or EECS students also.