Description du sujet de thèse

Balance impairments frequently accompany musculoskeletal injury and can lead to high socio-economic cost. The goal of the project is to understand the link between neuroplasticity and functional recovery during rehabilitation after an ankle injury. We will use longitudinal measurements of chronic ankle instability patients, performed by Dr. Dubbeldam at the University of Münster, to develop a model of neural learning of sensory integration and motor coordination for balance.
The applicant must have a background in biomechanics and experience in data analysis in python and in the experimental recording and analysis of human movement data (marker-based motion capture, ground reaction forces and electromyography). Additional experience in teamwork and international mobility is a plus.

Contexte de travail

The advent of artificial intelligences and robots is inducing profound transformations in our societies. The research at the Institute of Intelligent Systems and Robotics helps to anticipate these transformations by working on the autonomy of machines and their ability to interact with human beings. Gathered in multidisciplinary teams, the researchers of ISIR create drones, micro-tweezers, bionic prostheses, social robots, surgical arms and all kinds of intelligent and interactive systems, physical, virtual or mixed reality. Their applications address major societal challenges: health, industry of the future, transport, personal services.