Human-Robot Interaction Based on Multimodal Scene Understanding

Mitsubishi Electric Research Labs•Cambridge, MA

66d•$6 - $8

About The Position

We 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. The intern will collaborate with MERL researchers to derive and implement new models and optimization methods, conduct experiments, and prepare results for publication. Internships regularly lead to one or more publications in top-tier venues, which can later become part of the intern's doctoral work. The ideal candidates are senior Ph.D. students with experience in deep learning for audio-visual, signal, and natural language processing. Good programming skills in Python and knowledge of deep learning frameworks such as PyTorch are essential. Multiple positions are available with a flexible start date (not just Spring/Summer but throughout 2026) and duration (typically 3-6 months).

Requirements

Experience with ROS2, C/C++, Python, and deep learning frameworks such as PyTorch are essential.
Senior Ph.D. student
Experience in deep learning for audio-visual, signal, and natural language processing
Good programming skills in Python
Knowledge of deep learning frameworks such as PyTorch

Responsibilities

Collaborate with MERL researchers to derive and implement new models and optimization methods
Conduct experiments
Prepare results for publication

Benefits

relocation stipend
covered travel to and from MERL
monthly Charlie Card for local commuting
participation in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers
health insurance coverage (after 90-day waiting period)
immigration support for qualified candidates as needed

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