Job offer

European Commission; France; Sur place; EUR 25 000 - 35 000; Plein temps

Résumé du poste

Une opportunité pour un chercheur au stade initial dans le domaine des sciences cognitives, axée sur la découverte des mécanismes de l'adaptation motrice. Le candidat participera à des expérimentations avec enregistrements EEG, contribuant ainsi à un domaine de recherche essentiel avec un impact potentiel sur la réhabilitation et l'optimisation des compétences motrices.

Qualifications

• Profil de recherche au stade initial (R1).
• Aucune expérience de recherche requise.

Responsabilités

• Découverte des mécanismes neuraux de l'adaptation motrice à travers des expériences.
• Utilisation d'apprentissage machine avancé et de modélisation mathématique pour des données existantes.

Description du poste

Psychological sciences » Cognitive science

Psychological sciences » Psychology

Organisation/Company: CNRS, Department: Laboratoire d'Imagerie Biomédicale

Research Field: Neurosciences, Psychological sciences » Cognitive science, Psychological sciences » Psychology

Researcher Profile: First Stage Researcher (R1)

Country: France

Application Deadline: 18 Sep 2025 - 00:00 (UTC)

Type of Contract: Temporary

Job Status: Full-time

Hours Per Week: 35

Offer Starting Date: 1 Nov 2025

Funding: Not funded by an EU programme

Research Infrastructure Staff Position: No

Offer Description

Context (Why studying this makes sense): Motor adaptation is a crucial process in human life, enabling us to adjust our movements based on sensory feedback. For instance, imagine being asked to play your favorite game of petanque with a set of balls that are heavier than usual. You would need several trials to adapt your movements to achieve your baseline performance. This adaptation relies on the sensory prediction error—the difference between the intended and actual outcomes on each trial. Understanding motor adaptation has broad applications, from rehabilitation in patients after brain or body injuries to optimizing motor skills in sports, work, and robotics (motor adaptation is essential for advanced dexterity).

Despite the ubiquity and importance of motor adaptation, it is still not fully understood, especially at the neural level.

This project aims to uncover neural mechanisms of motor adaptation. The tools will include advanced machine learning, mathematical modeling (dynamical systems) on existing data, and conducting experiments on healthy participants performing motor tasks with simultaneous EEG recordings.

Research Field: Psychological sciences » Cognitive science

Years of Research Experience: None