Neuroscience PhD School - ReNeT Lab (rehabilitation, Neuroscience & Technology Lab)

Department

Department of Neuroscience & Padova Neuroscience Center

Main research activities/topics/projects

The lab has different ongoing reaserch projects focused on:

• Identification of neurophysiological markers of Loss of Balance (LoB) 
• EEG signatures of recovery after stroke
• Motor primitives trajectories after stroke
• Neurophysiological biomarkers of the embodiment for exoskeletons

Working language

English

Special entry requirements

Candidates should have a solid knowledge of one or more topics among:

• EEG and EMG analysis (linear and nonlinear) and integration
• Quantification of high-density EEG time-varying connectivity in the source space (i.e., estimation of EEG source dipole orientation for connectivity analysis; graph methods for theanalysis of functional/effective connectivity matrices).
• Neurophysiology, neurorobotics, clinical biomechanics, wearable devices
• MatLab and/or Python and possibly C++ programming

Duration in months (min-max)

PhD sandwich: 9-18

Post Doc: 9-18