*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* /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: laurent.prevot@univ-amu.fr and Magalie Ochs: magalie.ochs@lis-lab.fr For any question, contact : Laurent Prévot: laurent.prevot@univ-amu.fr http://www.lpl-aix.fr/person/*prevot* Magalie Ochs: magalie.ochs@lis-lab.fr http://www.lsis.org/ochsm/