Post-doctorate - Beta bursts & laminar MEG (M/F)
New
- Researcher in FTC
- 12 mounth
- Doctorate
Offer at a glance
The Unit
Institut des Sciences Cognitives Marc Jeannerod
Contract Type
Researcher in FTC
Working hHours
Full Time
Workplace
69675 BRON
Contract Duration
12 mounth
Date of Hire
01/04/2026
Remuneration
from €3,071 gross per month depending on experience.
Apply Application Deadline : 04 March 2026 23:59
Job Description
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.
Activity
* 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.
Your Profil
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.
Your Work Environment
The position is hosted within the Decision, Action, and Neural Computation (DANC) team at the Institut des Sciences Cognitives Marc Jeannerod (ISCMJ, CNRS) in Lyon. The DANC team investigates the neural bases of perception, action, and decision-making, with a focus on oscillatory dynamics, human neuroimaging (MEG/EEG), and computational approaches. It provides a highly interdisciplinary environment combining advanced experimental methods, modeling, and open science practices, and is fully aligned with the scientific priorities of the unit.
The postdoctoral researcher will collaborate within the ANR consortium Bursts2Predict (human laminar MEG in Lyon; laminar electrophysiology in non-human primates in Marseille; computational modeling in Strasbourg), with possible inter-site travel.
Compensation and benefits
Compensation
from €3,071 gross per month depending on experience.
Annual leave and RTT
44 jours
Remote Working practice and compensation
Pratique et indemnisation du TT
Transport
Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€
About the offer
| Offer reference | UMR5229-JAMBON-017 |
|---|---|
| CN Section(s) / Research Area | Physiology, ageing, tumorigenesis |
About the CNRS
The CNRS is a major player in fundamental research on a global scale. The CNRS is the only French organization active in all scientific fields. Its unique position as a multi-specialist allows it to bring together different disciplines to address the most important challenges of the contemporary world, in connection with the actors of change.
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