Missions

Within the ERC-Synergy project NASCE, you will investigate how the human brain represents isolated natural sounds using magnetoencephalography (MEG), and how these representations relate to acoustic, semantic, and deep-learning models.
Your work will focus on:
- Completing and extending source-space analyses of existing MEG datasets collected with single natural sounds;
- Applying representational similarity analysis (RSA) and variance-partitioning techniques to compare brain responses with acoustic features, text-based semantic models, and deep neural networks;
- Contributing to the development of robust, reusable Python pipelines for the NASCE consortium and to the dissemination of results (papers, abstracts, presentations).

Activités

• Curate and pre-process MEG data (artefact rejection, filtering, epoching, quality control);
• Perform source reconstruction and region-of-interest analyses using MNE-Python and associated tools;
• Build and analyse representational dissimilarity matrices (RDMs) from brain data and computational models;
• Implement cross-validated RSA, variance partitioning, and related statistical tests;
• Document and maintain analysis code in version-controlled repositories (Git);
• Prepare figures, results summaries, and texts for manuscripts and conferences.

Compétences

Education / experience: Master's degree (or equivalent) in neuroscience, cognitive science, biomedical engineering, computer science, data science, or related field. Experience with human MEG/EEG data analysis is required; a PhD in one of these areas is a strong asset.
Technical skills: Solid Python skills for scientific computing (NumPy/SciPy, MNE-Python, scikit-learn or similar), good command of statistics and multivariate methods (RSA, encoding models, model comparison), experience with Linux work environments and version control.
Domain knowledge & personal qualities: Clear interest in auditory or sensory neuroscience; ability to work independently and as part of a team; scientific rigour and good organisational skills; very good written and spoken English (French is a plus but not mandatory).

Contexte de travail

The position is hosted at the Institut de Neurosciences de la Timone (INT) in Marseille, within the team led by Dr Bruno Giordano. You will interact with researchers, engineers, and students M/F working on auditory neuroscience, MEG/iEEG, and computational modelling, and you will collaborate with NASCE partners across Europe (notably the Maastricht group for ultra-high-field fMRI and AI-based modelling).

Contraintes et risques

NA