Missions

You will:
* Lead MEG data collection for a motor imagery and motor execution study, ensuring reliable acquisition, participant management, and high-quality recordings.
* Preprocess MEG data and implement quality control checks.
* Contribute to data management and organization.
* Support training of students/engineers involved in acquisition and quality control.

Activités

* Acquisition & QC: prepare ethics/consent documents; schedule and run MEG sessions; maintain calibration logs; implement online/offline quality-control checks.
* Behavioral integration: manage timing, triggers, behavioral acquisition; curate datasets following BIDS/MEG-BIDS.
* Documentation & reproducibility: maintain well-organized code and acquisition protocols; contribute example scripts and internal notebooks.
* Dissemination & training: prepare short technical reports; present progress in lab meetings; support training of junior team members.

Compétences

* PhD in Neuroscience, Biomedical Engineering, Psychology, or a related field.
* Experience with MEG or EEG data acquisition and preprocessing.
* Strong programming in Python; familiarity with MNE-Python is a plus.
* Knowledge of beta-band dynamics and interest in motor imagery / motor control.
* Experience with decoding or machine-learning approaches is beneficial but not required.
* Strong scientific communication in English.

Contexte de travail

The position is based in Lyon, France, within the Decision, Action, and Neural Computation (DANC) team at ISCMJ (CNRS). The postdoc will work within a project on decoding real and imagined movement from beta-burst activity, in collaboration with the COPHY team at the Center for Neuroscience Research of Lyon (CRNL).

Contraintes et risques

None