Missions

You will:
* Lead MEG head-cast data collection for a visuomotor reaching/interception study, ensuring robust synchronization with video-based kinematics and eye-tracking, and enforce rigorous quality control.
* Design and implement the end-to-end analysis pipeline: preprocessing, source reconstruction, depth-resolved (laminar) analyses, and beta burst detection/analysis; produce reusable, well-tested code.
* Coordinate cross-site integration within an ANR project consortium (Lyon – Marseille -Strasbourg) involving laminar MEG (Lyon), laminar NHP electrophysiology (Marseille), and computational modeling (Strasbourg) investing the role of sensorimotor beta bursts in predictive processing: align protocols, metadata, and analysis plans; contribute to cross‑species comparative work.
* Advance and document our open-source laminar MEG analysis toolbox (laMEG), including tutorials, examples, and validation datasets.
* Drive dissemination (preprints, journals, conferences) and contribute to project management (milestones, ANR reports, data management planning).
* Mentor students/engineers and help build inclusive, reproducible lab practices.

Activities

* Acquisition & QC: prepare ethics/consent; train operators; run MEG sessions; implement online/offline QC dashboards; maintain calibration logs.
* Behavioral integration: deploy synchronized multi‑camera video for markerless 3D kinematics and eye-tracking; manage timing, triggers, and metadata; curate datasets to BIDS/MEG-BIDS.
* Modeling & statistics: implement laminar source modeling; derive beta-burst features (timing, rate, waveform); link neural features to behavior using GLMMs/Bayesian models; conduct sensitivity and robustness checks.
* Method validation: benchmark alternative pipelines (filters, burst detectors, forward/inverse models); perform cross-validation and simulation-based checks; document performance and limitations.
* Software engineering: contribute maintainable code to laMEG; add unit/integration tests and continuous integration; package examples and notebooks
* Collaboration: coordinate code/data standards with Marseille (NHP electrophysiology) and Strasbourg (computational modeling); organize cross-site analyses.
* Dissemination & training: draft manuscripts/preprints; present at meetings; lead internal workshops; support ANR deliverables and data-sharing.

Skills

* PhD in Neuroscience, Biomedical Engineering, Computer Science, or related field.
* Strong programming in Python and MATLAB; version control (git) and reproducible workflows.
* Experience with MEG/EEG analysis; familiarity with MNE-Python/SPM/FieldTrip; comfort with source reconstruction and signal processing.
* Knowledge of brain oscillations/beta bursts; experience with real-time/closed-loop setups is a plus.
* Bonus: experience with laminar MEG / MEG; HMMs or state‑space modeling; computer vision/kinematics; HNN or neural‑mass/spiking models; HPC.
* Excellent scientific writing and communication in English. French is not required.

Work Context

The position is based in Lyon, France, within the Decision, Action, and Neural Computation (DANC) team at the Institute for Cognitive Sciences Marc Jeannerod (ISCMJ, CNRS). The postdoc will collaborate within the ANR Bursts2Predict consortium (human laminar MEG in Lyon; NHP laminar electrophysiology in Marseille; computational modeling in Strasbourg), with opportunities for travel and cross‑site work.

Constraints and risks

None