Role OverviewWe are looking for a graduate student interested in advancing the field of multimodal scene understanding, focusing on scene understanding using natural language for robot dialog and/or indoor monitoring with a large language model.
What You Will Do
The intern will collaborate with MERL researchers to derive and implement new models and optimization methods, conduct experiments, and prepare results for publication.
Why It Might Be a Fit
Internships regularly lead to one or more publications in top-tier venues, which can later become part of the intern's doctoral work.
Requirements
- Experience with ROS2, C/C++, Python, and deep learning frameworks such as PyTorch are essential.
- Good programming skills in Python and knowledge of deep learning frameworks such as PyTorch are essential.
Benefits
- Relocation stipend
- Covered travel to and from MERL
- Monthly Charlie Card for local commuting
- Health insurance coverage after 90-day waiting period
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