*
*
*Two-year Post-doctoral Position
*
*
*
/
/Multimodal data analysis of behavioral and physiological signals from
human-human and human-machine interactions/
/
/
*deadline for application : 30 October*
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/Laboratoire d’Informatique et des Systèmes (LIS) et Laboratoire Parole
et Langage (LPL) /
Aix-Marseille Université & CNRS
*_Keywords:_* conversational speech, multimodal data analysis,
neurophysiological data, machine learning
The A*MIDEX project /PhysSocial/ aims at a betterunderstanding of the
specificities of social interactions by comparing relationships between
behavior and neurophysiologyin human‐human and human‐robot discussion.
The goal of the post-doc is toanalyze the multimodal signals (speech,
eyes direction, physiological, and neurophysiologic signals) from
conversational activity using signal processing and machine learning
methodologies in order to compare the human-human and human-robot
interactions.
The Post-doc is organized around 2 main tasks:
* /Multimodal data preprocessing/: in a first step, the objective is
to process the row data (speech, transcribed speech, eyes tracking,
physiological and neurophysiological signals) corresponding to
human-human and human-robot conversation in order to extract time
series corresponding to behavioral features, as well as cognitive
events derived from local activity in well-defined brain areas
involved inlanguage and social cognition
* /Machine learning of causal relations: /in a second step,//time
series will be used by statistical learning to identify causal
relations between behavioral and physiological features and
cognitive events extracted from neurophysiological recording with
fMRI. From a learning point of view, one challenge in this project
is the high-dimensional data. We address this issue with a focus on
the features representation and selection problems.
The candidate should have a Phd in Computer Science, Applied
Mathematics, Signal or Natural Language Processing (with solid
background in machine learning).
The candidate should have a strong background in machine learning and
signal processing with a focus on multimodality. Some complementary
previous experience would be appreciated in the following topics:
• Multimodal data processing
• Data science applied to language data
The post-doc is fully funded during 2 years as part of the A*MIDEX
interdisciplinary project PhysSocial, including personalized training,
travel expenses, and conferences attendance.
French language is not required.
Aix Marseille University (http://www.univ-amu.fr/en), the largest French
University, is ideally located on the Mediterranean coast, and only 1h30
away from the Alps.
The application files consists of the following documents:
- A detailed curriculum with publications,
- A description of Phd subject,
- A description of the academic background and copy of academic records
and most recent diploma,
- 2 recommendation letters (including one from the Phd supervisor)
The application files should be sent to :
Laurent Prévot: [log in to unmask]
<mailto:[log in to unmask]>
and
Magalie Ochs: [log in to unmask] <mailto:[log in to unmask]>
For any question, contact :
Laurent Prévot: [log in to unmask]
<mailto:[log in to unmask]>
www.lpl-aix.fr/person/*prevot* <http://www.lpl-aix.fr/person/*prevot*>
Magalie Ochs: [log in to unmask] <mailto:[log in to unmask]>
http://www.lsis.org/ochsm/
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