TWO full-time Marie Skłodowska-Curie PhD positions for research and development of new data analysis methodologies for 1) brain dynamics, and 2) autonomous nervous system activity in mixed reality settings. Applications will be in the fields of computational neuroscience, neuroeconomics, psychophysiology, and affective computing.  

ESR5 Position: A prospective ESR's activity will focus on (but not limited to): 1) EEG and fNIRS artefact identification and removal based on Bayesian/multivariate statistics; 2) Standard EEG and fNIRS processing techniques based on the estimation of EEG power spectra and functional connectivity through phase locking values; 3) Novel neural complexity markers derived from the application of the theory of nonlinear dynamical systems; 4) Assessment of brain-heart coupling through linear and nonlinear correlation measures between time-varying EEG spectra and time-varying correlates of cardiovascular variability as related to sympathetic and parasympathetic activity.

ESR6 Position: A prospective ESR's activity will be devoted to (but not limited to): 1) Time-varying analysis of heart rate variability (HRV) series as defined in the time and frequency domains, as well as in the complexity/nonlinear domain. Inhomogeneous point-process models for cardiovascular dynamics will be investigated to derive instantaneous correlates of immersive emotional elicitation; 2) Multivariate assessment, including, e.g., cardio-respiratory synchronization and measures of information transfer between peripheral signals to uncover the underlying ANS dynamics that sustains user's decision-making and cognitive experience in a immersive virtual/mixed reality scenario and 3) Estimation of sympathetic dynamics as derived from electro-dermal activity and combined HRV analysis.

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