PhD (M/F) in Auditory Neuroscience (EEG)

Psychological sciences » Cognitive science

Psychological sciences » Psychology

Organisation/Company CNRS Department Institut de Neurosciences de la Timone Research Field Neurosciences Psychological sciences » Cognitive science Psychological sciences » Psychology Researcher Profile First Stage Researcher (R1) Application Deadline 13 Oct 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 16 Nov 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The position is based at the Institut de Neurosciences de la Timone (INT, UMR 7289, CNRS/Aix-Marseille University) in Marseille, in the team led by Bruno Giordano. The PhD student will work closely with researchers, engineers and PhD students involved in auditory neuroscience, MEG/SEEG and computational modelling, and collaborate with European partners in the NASCE project (particularly the Maastricht team for ultra-high-field MRI and AI modelling).
The PhD student will be enrolled in a doctoral programme at Aix-Marseille University as part of the NeuroSchool programme. Regular interactions with team members in Maastricht are planned (videoconference meetings, joint workshops).

As part of the ERC-Synergy NASCE project (“Natural Auditory SCEnes in Humans and Machines”), this PhD aims to understand how brain regions interact to analyse and interpret real-world auditory scenes comprising environmental sounds and multiple sound sources.
The PhD student will study brain connectivity and the dynamics of auditory representations using magnetoencephalography (MEG) and stereoelectroencephalography (SEEG) data. The work will focus on information exchange between brain regions during listening, with particular attention to the acoustic and semantic dimensions of scenes and the influence of context and attention.

Activities will include:

• Preprocessing and quality control of MEG and SEEG data, and analysis of their temporal and spectral dynamics;
• Implementing and developing connectivity analyses and multivariate methods to characterise interactions between brain regions and representations of auditory scenes;
• Developing, testing and documenting reusable Python analysis pipelines, with appropriate validation procedures and statistical tests;
• Contributing to experiment preparation and MEG data acquisition, in collaboration with team members and project partners;
• Contributing to the writing of scientific articles and presenting results at project meetings and conferences.

Research Field Psychological sciences » Cognitive science Years of Research Experience None