Post-doc position in The Multiple Time-Scales of Multi-Agent Interaction - [ Postdoc ]

Workplace: Ferrara, CTNSC@UniFe
Added on: 05/07/2019 - Expires on: 15/09/2019

The Centre for Translational Neurophysiology of Speech and Communication (CTNSC@UniFe) is looking for a highly-motivated candidate who will work within the H2020 EnTimeMent project (“ENtrainment and synchronization at multiple TIME scales in the MENTal foundations of expressive gesture”), funded by the European Commission with grant agreement n. 824160.

EnTimeMent aims at a radical change in scientific research and enabling technologies for human movement qualitative analysis, entrainment and prediction, based on a novel neuro-cognitive approach of the multiple, mutually interactive time scales characterizing human behaviour. Our approach will afford the development of computational models for the automated detection, measurement, and prediction of movement qualities from behavioural signals, based on multi-layer parallel processes at non-linearly stratified temporal dimensions, and will radically transform technology for human movement analysis.

In this context, we are looking for a highly-motivated scientist who will design and implement complex multi-agent motion capture set-ups (e.g. dance or orchestra/quartet scenario) fitting the EnTimeMent approach. The successful candidate will also lead the data analyses (e.g. Granger’s causality or Kuramoto’s model), draft manuscripts and grant proposals.

We are looking for an inquisitive mind with the curiosity to design, collect and analyze large scale motion capture databases, requiring a rethinking of how to extract meaningful group-level statistics:

  • Master degree and/or PhD in experimental psychology, computational neuroscience, computer science, Engineering with a background in motion capture and signal processing;
  • Ability to analyze, improve and propose new algorithms;
  • Good knowledge of matlab and/or python programming language.

Salary will be commensurate to qualification and experience and in line with international standards.

The winning candidate will work in a fully equipped laboratory in Ferrara, Italy and will have the opportunity to collaborate with an interdisciplinary team of engineers and neuroscientists.

Interested applicants shall submit their CV, a statement of research interest and name and contacts of two referees to luciano.fadiga@iit.it and ingrid.sica@iit.it quoting “Post-doc position in The Multiple Time-Scales of Multi-Agent Interaction, BC: 77247” in the subject line.

Please apply by September 15th, 2019.

Istituto Italiano di Tecnologia (http://www.iit.it) is a private Foundation with the objective of promoting Italy's technological development and higher education in science and technology. Research at IIT is carried out in highly innovative scientific fields with state-of-the-art technology.

Fondazione Istituto Italiano di Tecnologia (http://www.iit.it) is a non-profit institution created with the objective of promoting technological development and higher education in science and technology. Research at IIT is carried out in highly innovative scientific fields with state-of-the-art technology.
Istituto Italiano di Tecnologia is an equal opportunity employer that actively seeks diversity in the workforce.

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Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.

References:

  • Hilt P.M., Badino L., D’Ausilio A., Volpe G., Fadiga L., Camurri A. (2019) Multi-layer adaptation of group coordination in musical ensembles. Sci Rep. 9: 5854.
  • Volpe G., D’Ausilio A., Badino L., Camurri A., Fadiga L., (2016) Measuring social interaction in music ensembles. Phil Trans Roy Soc B. 371(1693), 20150377.
  • D’Ausilio A., Novembre G., Fadiga L., Keller P.E. (2015) What can music tell us about social interaction? Trends Cogn Sci. 19(3), 111-114.
  • Badino L., D’Ausilio A., Glowinski D., Camurri A., Fadiga L. (2014) Sensorimotor communication in professional quartets. Neuropsychologia. 55(1), 98-104.
  • D’Ausilio A., Badino L., Tokay S., Aloimonos Y., Li Y., Craighero L., Canto R., Fadiga L. (2012) Leadership in Orchestra Emerges from the Causal Relationships of Movement Kinematics. PLoS ONE. 7(5), e35757.
Contacts
Ingrid Sica
ingrid.sica@iit.it

luciano.fadiga@iit.it
Involved Research lines
Multiscale Brain Communication

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