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MERL is seeking a highly motivated and qualified intern to work on the problem of loco-manipulation using legged robots. The objective of the project is to develop specific algorithms for simultaneous quadrupedal locomotion and prehensile manipulation of 3D objects placed outside the immediate works...

MERL is looking for a research intern to develop efficient transformer-informed stochastic MPC to control net-zero energy buildings. This is an exciting opportunity to make a real impact in the field of cutting-edge deep learning and predictive control on a real system. Publication of results produc...

Mitsubishi Electric Research Laboratories (MERL) is seeking a self-motivated senior Ph.D. candidate in Computer Science or Electrical Engineering for a 3month internship focused on developing and applying multi-modal large language models (LLMs) with application in anomaly detection, time sequence a...

MERL is seeking a highly motivated and qualified intern to contribute to the development of our robot control software stack. The focus of the internship will be on designing and implementing ROS2 modules to build efficient and robust drivers for Mitsubishi Electric robot arms. The ideal candidate i...

MERL is seeking an intern to work on mathematical modeling of manufacturing processes. The ideal candidate will have a strong background in process modeling with Petri nets and other methods, process simulation, and programming in C\C++, python and or other domain specific modeling languages. Experi...

MERL is looking for a self-motivated intern to research on problems related to complex physical reasoning using digital twins and large vision-and-language models (VLMs). An ideal intern would be a Ph.D. student with a strong background in computer vision, machine learning, and robotics, with broad ...

We are seeking graduate students interested in helping advance the fields of machine sound source separation, sound event detection/localization, anomaly detection, and physics informed deep learning for machine sounds in extremely noisy conditions. The interns will collaborate with MERL researchers...