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PhD position: data-driven methods for neurophysiology (M/F)

This offer is available in the following languages:
Français - Anglais

Date Limite Candidature : lundi 11 juillet 2022

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General information

Reference : UMR6174-JEAAUC-002
Workplace : BESANCON
Date of publication : Monday, June 20, 2022
Scientific Responsible name : Jean-Julien Aucouturier (FEMTO-ST Institute, CNRS/Université de Bourgogne Franche-Comté), Besançon, Fr
Type of Contract : PhD Student contract / Thesis offer
Contract Period : 36 months
Start date of the thesis : 1 October 2022
Proportion of work : Full time
Remuneration : 2 135,00 € gross monthly

Description of the thesis topic

The NEURO research group, Dept. of Robotics and Automation (AS2M) of the FEMTO-ST Institute is seeking a PhD candidate in computer science, for a project aiming to explore the use of novel reverse-correlation methods for the analysis of neurophysiological data (EEG). The PhD candidate will work towards extending recent results obtained in the group in the context of social and epistemic prosody perception (Ponsot et al. 2018; Goupil et al. 2021), with a clinical application to auditory perception is disorders of consciousness/coma. The project is set in the context of an ongoing collaboration between the FEMTO-ST Institute and the Dept. of Intensive Care, GHU Paris Neurosciences and Psychiatrie (ANR Sounds4Coma).

Work Context

The FEMTO NEURO group is a small, interdisciplinary group of scientists exploring control-systems approaches to the analysis of human sensory electrophysiology (https://neuro-team-femto.github.io/about/). It is part of the larger System Data Science team, a concentration of 7 faculty working on data-driven analysis, pronostic and health management of natural, industrial and environmental systems (head: Prof. Jean-Marc Nicod), and based in the Department of Automation and Robotics of the FEMTO-ST Institute (CNRS/Université de Bourgogne Franche-Comté) in Besançon, France.

The FEMTO-ST Institute “Franche-Comté Electronics Mechanics
Thermal Science and Optics – Sciences and Technologies”,
is a joint research institution, under the authority
of the Université de Bourgogne Franche-Comté (UCFC) and the Centre National de la
Recherche Scientifique (CNRS). Research in FEMTO-ST covers the fields of optics, acoustics, micro nanosciences and systems, time-frequency, automatic, computer science, mechatronics, as well as mechanics and materials, energy and electrical engineering (https://www.femto-st.fr).

Constraints and risks

No particular risk or constraint linked to the position (office work, occasional travel for conferences or scientific events)

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