
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 on developing humanoid systems for material handling tasks such as box/cart transportation, kitting, tool manipulation, failure recovery, and other mobile manipulation tasks in warehouse and manufacturing environments. The intern will collaborate closely with MERL researchers to develop novel algorithms that integrate Vision-Language-Action (VLA) models, world models, and robot control for robust long-horizon manipulation on real humanoid platforms. Successful candidates should have demonstrated research experience in embodied AI, robot learning, or computer vision, with the goal of publishing at leading robotics and AI conferences. Start date and duration is flexible.
Required Specific Experience
Desired Experience
The pay range for this internship position will be 6-8K per month.

Mitsubishi Electric Research Laboratories (MERL) is the US subsidiary of the Corporate R&D organization of Mitsubishi Electric Corporation. MERL does basic and applied research in the areas of multi-physical modeling and simulation, optimization, control, signal processing and artificial intelligence. We are an open lab, publishing our results, collaborating with the world-wide research community, and measuring our performance by the impact we have on Mitsubishi Electric and the world.