Offre en lien avec l’Action/le Réseau : – — –/– — –

Laboratoire/Entreprise : Euromov DHM
Durée : 3 ans
Contact : patrice.guyot@mines-ales.fr
Date limite de publication : 2023-09-02

Contexte :
A 3-year fully funded PhD scholarship is proposed by the PhD school (ED I2S) in Alès / Montpellier within the ANR MODPULS project.
The successful applicant will become part of a dynamic research environment within the newly multidisciplinary joint research center EuroMov Digital Health in Motion.

See this offer on the EuroMov DHM website:
https://dhm.euromov.eu/wp-content/uploads/2021/06/Ph.D_MovementMusicSync.pdf

Start date: October 1st, 2023 (to September 2027).
Net remuneration around 1630€ monthly (including social security and health benefits).

A 6-month internship is also possible on the same project (March to August 2023). See this offer on the EuroMov DHM website: https://dhm.euromov.eu/wp-content/uploads/2022/12/M2_Modpuls.pdf

Sujet :
The temporality of information is crucial to our understanding of the world. Synchronization between different events guides our perception and our actions in many tasks. For example, speech understanding is improved by lip-reading in a context of synchronization between visual and sound perception.
In the field of artificial intelligence, spike neural networks offer a paradigm inspired by the functioning of the human brain, which is based on the synchronization between neuronal impulses. These neural networks are likely to be more efficient than the classical neural networks used in the field of machine learning, and less costly in terms of hardware. They also offer new possibilities for processing temporal data and analyzing synchronizations.
The MODPULS project aims at studying the possibilities and the limits of the use of spike neural networks for the analysis of temporal data related to synchronization, rhythm, and human movement. Through a set of temporal and rhythmic data of different natures and complexities, combining audio, video and human motion data, you will have to implements synchronization tasks with spike neural networks. The fine analysis of synchronization mechanisms opens the field to numerous applications, notably in the human sciences with musical practice, but also in the medical field through the therapeutic analysis of social synchronizations.

Profil du candidat :
Applicants should have (or anticipate having) a MSc and research background related to computer science, audio/signal processing, or computational movement science.

Formation et compétences requises :
Knowledge in music (theoretical and practical) will be valued. French is not mandatory, but the candidate must be willing to learn French during their PhD and they must be able to communicate in English.

Adresse d’emploi :
Ales ou Montpellier

Document attaché : 202302091411_Ph.D_Modpuls_Internship.pdf