PhD in Electrical Engineering

We’re seeking for motivated candidates that are interested in developing computer models of the composite human neuro-muscular system that combine detailed musculoskeletal geometries, muscle-tendon models and neural control pathways (e.g., CPG-like and reflexive). Moreover, candidates will be required to develop reinforcement learning techniques to teach such neuromuscular models to execute a broad range of movement as well as performing the “sim2real” step for the control of physical musculoskeletal robots in the real world, i.e., use cass include neuromuscular model-based control of robotic legs and arms for both autonomous and prosthetic applications.