Job ID: 119700

Postdoc and Engineer Positions Neonatal/Fetal Electroencephalography and MagnetoEncephaloGraphy with OPM

Position: Post-doctoral Position

Deadline: 1 November 2024

Employment Start Date: 1 September 2024

Contract Length: 1 year renewable

City: Amiens

Country: France

Institution: Inserm/University of Picardie, Amiens, France

Department:

Description:

Framework

A fully funded postdoctoral research position is available at Inserm UMR 1105 (Reserach Group on the Multimodal Analysis of Brain Function, GRAMFC, University of Picardie Jules Verne, France) in the framework of the DFG-ANR funded project fMEG-OPM. This DFG-ANR project opens up a wide range of opportunities to the successful candidate. The EEG/MEG-OPM system is dedicated to the pediatric population with specific caps for premature neonates, neonates and children, together with a specific device for foetal MEG. Apart from a comfortable salary, the successful candidate will benefit from a stimulating scientific environment where it is possible to invite peer researchers, exchange ideas with fellow researchers in the consortium; about 15 researchers reside at INSERM, CEA, MAG4HEALTH, Tubingen laboratories. The successful candidate will join the multidisciplinary research groups where she/he will be in close interaction with the team members. The candidate will develop EEG-MEG/OPM data analysis on pregnant women (fetal MEG), premature and full term neonates (neonatal EEG/MEG-OPM) and healthy and epileptic children (pediatric EEG/MEG-OPM) to evaluate the spontaneous and evoked (auditory) neural activity. This position offers a unique opportunity to develop an expertise in combined EEG/MEG-OPM.

Key words: Signal processing, Electromagnetic modelling, EEG, MEG, Matlab, Python.

Job profile

The candidate must have completed a PhD in signal processing, applied mathematics, computer science, neuroscience, or related fields or a master in engineering with at least 4 years of experience with neural data . Programming experience with scripting languages such as Matlab or Python are required as well as research experience in statistical signal processing (modeling) and/or machine learning (Electromagnetic forward/inverse problem, filtering, blind source separation, etc). Experience with biomedical signals such as electroencephalography (EEG) and/or magnetoencephalography (MEG) will be considered as an advantage.  Applicant should be self-motivated and must have a willingness to do inter-disciplinary research and collaborative teamwork.