Scientific enthusiasm and a specific interest in the above research project.
Expertise in experimental design and implementation.
Proficiency in data collection and statistical analysis (preferably including experiences with programming languages like R, Python, or MATLAB).
Background in one or more cognitive neuroscience methodologies (e.g., fMRI, EEG, TMS) or strong motivation to acquire this expertise.
Excellent written and verbal communication skills.
Ability and motivation to collaborate within teams of researchers from various fields (e.g., psychology, neuroscience, communication science, computer science).
Knowledge (documented by academic theses or publications) in any area of voice communication science.
Expertise in applying relevant specialist software in voice communication science (such as PRAAT, STRAIGHT).
Background: Academic background matching with the research project (neuroscience, cognitive sciences or related fields - psychology, linguistics).
English language: Candidates must demonstrate their ability to understand and express themselves sufficiently in both written and spoken English, in order to fully benefit from the network training.