We are seeking graduate students interested in advancing the fields of spatial audio, room acoustics, physics informed machine learning, and scene understanding (e.g., sound source localization and spatial-aware captioning). The interns will work closely with MERL researchers
MERL is seeking a highly motivated intern to collaborate on the development and experimental validation of algorithms for heterogeneous mobile robot autonomy. The internship will involve hands-on work with multiple robotic platforms, including aerial robots and ground robots.
MERL is seeking a highly motivated Ph.D. student to conduct research on foundation models for humanoid robot loco-manipulation in factory automation, with a focus on understanding their capabilities, limitations, safety, and robustness. The internship will focus