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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General Information

Undergraduate, Graduate, and PostDoctoral positions may be available in the areas of:


Embedded Control Systems
Hybrid Systems
Real-time Control
Optimization Cooperations and Localization of Autonomous Agent
Industrial Robotics Technologies
Control of Nonholonomic Systems
Wireless Sensor Network



Intelligent materials (muscle-like actuators and sensing materials)
Smart Wearables
In-silico models
Brain bioimaging and confocal microscopy
In-vitro models
Brain-machine interaction
Affective computing



For further information, or to submit your CV, contact:


Past Positions

  • Post-Doc position available at the Research Center ''E. Piaggio'' of the University of Pisa (Pisa, Italy), related to the modeling, design and development of wearable haptic devices. Selected candidate will work on the modeling, design, development and correct/optimal exploitation of the information from systems for kinematic/force tracking of human/robotic hand; wearable systems for haptic interaction or tele-operation, with information about softness and/or texture. Part of the work will be also devoted to the numerical model of contact of human finger with different external stimuli for haptic exploration.
    The deadline for application is May 9th 2014.
    All details are available at: PDFCVT

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    For further details, please contact:

    Dr. Matteo Bianchi (
    Prof. Enzo P. Scilingo (
    Prof. Antonio Bicchi (

PhD Research fellowship in Neuroengineering

We are looking for a motivated Masters student with an interest in neuroscience and neuroengineering. The PhD research topic will be centered on the development of novel algorithms for estimating functional connectivity over large networks at cellular resolution. The work will integrate delipidation methods, imaging techniques and electro-physiological information for the reconstruction of a morpho-functional connectivity map of a particular region of the brain (i.e. mouse cerebellum), based on 3D-MEA signal recordings and structural a priori knowledge. 

Requirements:  Masters degree in Biomedical Engineering, Information Engineering, or  Computer Science

Deadline June 2017. Please send a cv with references to: