Job: Post-doc: Multimodal data analysis of behavioral and physiological signals from HHI, HMI interactions – Aix Marseille University

Two-year Post-doctoral Position

Multimodal data analysis of behavioral and physiological signals from human-human and human-machine interactions
Laboratoire d’Informatique et des Systèmes (LIS) et Laboratoire Parole et Langage (LPL)
Aix-Marseille Université & CNRS

Deadline for application: 30 October

Keywords: conversational speech, multimodal data analysis, neurophysiological data, machine learning

The A*MIDEX project PhysSocial aims at a better understanding of the specificities of social interactions by comparing relationships between behavior and neurophysiology in human‐human and human‐robot discussion. The goal of the post-doc is to analyze 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 in language 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 (, 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:
Magalie Ochs:

For any question, contact:

Laurent Prévot:*prevot*

Magalie Ochs:

This entry was posted in Jobs. Bookmark the permalink. Trackbacks are closed, but you can post a comment.

Post a Comment

Your email is never published nor shared. Required fields are marked *

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <s> <strike> <strong>


  • Find Researchers

    Use the links below to find researchers listed alphabetically by the first letter of their last name.

    A | B | C | D | E | F| G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z