Informations générales
Intitulé de l'offre : PhD Student in physiology on neuromuscular fatigue (M/F) (H/F)
Référence : UMR7271-MAGRIC-002
Nombre de Postes : 1
Lieu de travail : STRASBOURG
Date de publication : jeudi 22 mai 2025
Type de contrat : CDD Doctorant
Durée du contrat : 36 mois
Date de début de la thèse : 1 octobre 2025
Quotité de travail : Complet
Rémunération : 2200 gross monthly
Section(s) CN : 07 - Sciences de l'information : traitements, systèmes intégrés matériel-logiciel, robots, commandes, images, contenus, interactions, signaux et langues
Description du sujet de thèse
The project aims to investigate the impact of accumulated neuromuscular fatigue from training on subsequent chronic adaptations. To date, this issue is still debated and is critical for designing and prescribing any form of exercise training, whether the goal is performance in athletes or health in patients. This interdisciplinary project will combine exercise physiology and signal processing through two complementary studies (acute and training studies).
The PhD candidate will be involved in experimental design, collection and analysis of physiological and neurophysiological data (HD-EMG, mechanical responses to electrical nerve stimulation…), as well as in advanced signal processing. The candidate will also contribute to writing scientific publications, disseminating results, and presenting at conferences.
SKILLS :
The candidate should have research experience in human neurophysiology. Skills in the assessment and analysis of neuromuscular fatigue (e.g., surface electromyography, percutaneous electrical stimulation) are required. Knowledge of signal processing is desired, or at least, a strong interest in the field. French speaking is not mandatory but the candidate should be willing to learn french and must be able to speak in English.
Contexte de travail
Most of the PhD will be conducted at the University of Strasbourg (European Center for Research, Teaching and Innovation in Exercise Physiology – CEERIPE), with additional time spent at University Côte d'Azur (Computer Science, Signals and Systems Laboratory – i3S), allowing the candidate to acquire dual expertise in physiology and signal processing. Both institutions provide the resources necessary to support high-quality doctoral research.
PhD Supervisors:
Dr. Thomas Hureau, Université de Strasbourg : t.hureau@unistra.fr
Pr. Olivier Meste, Université Côte d'Azur : olivier.meste@univ-cotedazur.fr
Dr. Guillaume Ducrocq, Université de Strasbourg : gducrocq@unistra.fr
Le poste se situe dans un secteur relevant de la protection du potentiel scientifique et technique (PPST), et nécessite donc, conformément à la réglementation, que votre arrivée soit autorisée par l'autorité compétente du MESR.
Contraintes et risques
None