Join the Cognitive Neuro-Imaging Unit (www.unicog.org) at NeuroSpin brain imaging center.
This collaborative project is headed by Ghislaine Dehaene-Lambertz and gathers NeuroSpin and CEA Leti in Grenoble. The primary objective of this project is to determine the advantages of He4 Optically Pumped Magnetometers (OPMs) with respect to SQUID based standard MEG.
Optically pumped magnetometers are ultra-sensitive magnetic field detectors. Contrary to SQUIDs, which have to be cooled down with liquid helium, they can operate at room temperature. As a result, they can be placed at the surface of the scalp on an adaptable cap. CEA LETI has been developing OPMs based on He4 metastable atoms. A prototype of this OPM-based MEG with 5 sensors is currently being tested.
Eligible qualifications for this position include:
Ph.D. in Physics, Engineering, Cognitive neuroscience, or related discipline
Thorough knowledge of the technical, theoretical and practical principles of M/EEG, and expertise in signal processing.
Fluent knowledge in computer programming (languages: Python, Matlab)
Knowledge of cognitive neuroscience
Knowledge of the French language is not required, but would be a bonus.
The position is funded for one year and would start early 2022. The post-doctoral student will work in the laboratory of Prof. Stanislas Dehaene at NeuroSpin, in coordination with the MEG team. The main tasks associated with this job proposal are MEG/MEG-OPM data acquisition and processing with MNE-Python.
To apply, please submit a CV and a cover letter explaining how your previous research experiences are relevant to this project. These documents should be complemented with reference letters and sent to email@example.com with “OPMs at NeuroSpin” in the head of the e-mail.
NeuroSpin is France’s most advanced brain-imaging center. The whole building is dedicated to the understanding of the human brain and to the development of brain imaging technologies. Five laboratories currently share their expertise on site and provide a stimulating research environment. NeuroSpin hosts 8 state-of-the-art neuroimaging systems including 3 human MRIs (3T, 7T, and soon a world-record 11.7 Tesla), 3 animal MRIs (7T, 11.7T and 17.T), an MEG system, and a 3-photon imaging system. The MEG machine is a 306-channel system (Neuromag/Elekta) typically paired with EEG (native + EGI) and eye-tracking (Eyelink 1000 SR Research).
Thanks to powerful computational resources, NeuroSpin teams develop advanced post-processing tools for structural image processing (BrainVisa), fMRI data analysis (Nipy, Nilearn), diffusion imaging (Connectomist), and M/EEG analysis (MNE Python).
Al Roumi, F., Marti, S., Wang, L., Amalric, M., and Dehaene, S. (2021). Mental compression of spatial sequences in human working memory using numerical and geometrical primitives. Neuron 109, 2627-2639.e4.
Fourcault, W., Romain, R., Gal, G.L., Bertrand, F., Josselin, V., Prado, M.L., Labyt, E., and Palacios-Laloy, A. (2021). Helium-4 magnetometers for room-temperature biomedical imaging: toward collective operation and photon-noise limited sensitivity. Opt. Express, OE 29, 14467–14475.
Labyt, E., Corsi, M.-C., Fourcault, W., Palacios Laloy, A., Bertrand, F., Lenouvel, F., Cauffet, G., Le Prado, M., Berger, F., and Morales, S. (2019). Magnetoencephalography With Optically Pumped 4He Magnetometers at Ambient Temperature. IEEE Transactions on Medical Imaging 38, 90–98.
Trübutschek, D., Marti, S., Ueberschär, H., and Dehaene, S. (2019). Probing the limits of activity-silent non-conscious working memory. PNAS 116, 14358–14367.