A graduate position is available at the Neural Rehabilitation Group, in the Cajal Institute – Consejo Superior de Investigaciones CientÃficas (CSIC).
The selected candidate will work in the area of Machine Learning & Robotics. Specifically, in
- New experimental paradigms, signal processing techniques, machine learning procedures, and control policies to generate adaptive, robotic gait-patterns.
- Development of a self-learning controller for exoskeletons that optimizes the human-robot interaction to achieve a human-like, efficient, assisted locomotion.
- Application to the assisted locomotion of spinal cord injury patients.
This work is part of a national research project, and it will be carried out within a proactive group –leading world-class research on Rehabilitative and Assistive Robotics– in a prestigious neuroscience institute.
Candidate profile:
Candidates must have an outstanding academic record and a University degree in one of the following specialties: Computer science, Telecommunications Engineering, Electronic Engineering, Industrial Engineering, Physics, or Mathematics.
The profile of the candidate should cover as much as possible the following distinctive features:
- Strong background on one or some of the following techniques: Machine Learning – Pattern Recognition, Automation & Intelligent Control, and Soft computing.
- Programming experience in MATLAB©
- High motivation for research, originality and initiative
- Fluent in English, or fluent in Spanish plus good written and verbal communication skills in English.
- Good interpersonal communication skills.
Additional expertise in Digital Signal Processing, Statistics, System Modeling, and Measurement & Instrumentation will be valued.
Application procedure:
Interested applicants should send their resume by e-mail to
L.J. Barrios, L.barrios@csic.es, and J.L. Pons, jose.pons@csic.es