Job ID: 119703
Engineer and Postdoc Position in European TinyBrains project: Electroencephalography and Near Infrared Spectroscopy
Position: Post-doctoral Position
Deadline: 1 November 2024
Employment Start Date: 2 September 2024
Contract Length: one year renewable
City: Amiens
Country: France
Institution: Inserm/University of Picardie, Amiens, France
Department: GRAMFC
Description:
Framework
A fully funded research engineer positions is available at Inserm UMR 1105 (Research Group on the Multimodal Analysis of Brain Function, GRAMFC, University of Picardie Jules Verne, France) in the framework of European projects (TinyBrains and PerEpi). These projects open up a wide range of opportunities to the successful candidate. The Inserm U1105 develops functional approaches dedicated to the pediatric populations including High resolution EEG and High Density Frequency domain Near Infrafed Spectroscopy to analyze the spontaneous and evoked neuronal and hemodynamic responses to spontaneous activities and evoked stimulations in premature neonates. This simultaneous acquisition allows combining the high temporal resolution of the EEG, and FD-NIRS with the good spatial resolution of the NIRS to better describe the neuronal network involved in the neurodevelopment and the coding of spontaneous and evoked neuronal activities in premature neonates. 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 European projects; about 30 researchers reside at INSERM in Amiens and ICFO in Barcelona, This position offers a unique opportunity to develop an expertise in multimodal imaging of brain dys/functions during neurodevelopment. The problems developed in these projects are very innovative at a time when multimodal imaging is developing throughout the world with implications in cognitive neuroscience and clinics.
The successful candidates will devote the majority of regular working hours to research topics that have been given priority in the European project.
Key words: Signal processing, NIRS, EEG, Matlab, Python.
Job description
The principal research topic aims to develop signal processing analysis from multimodal imaging datasets including combined HR EEG and HD NIRS in different pediatric populations (premature/full term neonates, fetuses.
The successful candidate will develop advanced algorithm and signal processing approaches to extract information obtained through the multimodal acquisitions. He will also participate in the development of inverse problem approaches in the different modalities. He will use/write sustainable code for integration in software packages, and publish his or her findings. Publications of high quality are expected both in the field of signal processing as in the application field such as neuroimaging or neonatal / epilepsy research.
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, NIRS forward/inverse problem, filtering, blind source separation, etc). Experience with biomedical signals such as electroencephalography (EEG) and/or functional near infrared spectroscopy (fNIRS) will be considered as an advantage. Applicant should be self-motivated and must have a willingness to do inter-disciplinary research and collaborative teamwork.