Job ID: 6512

Ph.D. Student in Amiens/France

Position: Ph.D. Student

Deadline: 1 August 2021

City: Amiens

Country: France

Institution: University of Picaride



The Research Group for the Multimodal Analysis of Cerebral Function (GRAMFC-INSERM U 1105) conducts application-oriented research in the multimodal analysis of the cerebral function and dysfunction in newborns and children, as well as fundamental research on new functional neuroimaging techniques. We participate in European projects and work closely with academic and industrial partners in functional neuroimaging, with an emphasis on neurodevelopmental applications.
The PhD student will be involved in the multicenter project described above. The student will handle HR EEG and HD NIRS systems. He/she will be involved in the design of cognitive tasks. He/she will develop novel signal processing techniques to extract information from the aforementioned signals recorded in the NICU and from premature and full-term human neonates.

The candidate needs to:
 be graduated from an Engineering MSc program before July 2021 from one of the three disciplines Biomedical, Electrical, or Computer Engineering (student from a background of Information Technology with the following skills can also apply) from one of the top 10 universities in Iran or the corresponding country,
 have a solid knowledge in the areas of digital signal processing and neural signal analysis (signal preprocessing, filtering design, time-frequency analysis, coherence analysis, etc. ),
 have high level technical skills in MATLAB/PYTHON,
 have an English competence equal to a TOEFL iBT of 90 or IELTS 6 (the diploma is not required, however the English knowledge will be evaluated through an interview).
 Experience with neural signal acquisition systems,
 Experience in EEG(ERP) and/or NIRS and/or MEG and/or LFP-MUA signal analysis,
 Experience with Fieldtrip, EEGLAB, Brainstorm, NIRS SPM, and HOMER, etc.
 Background in deep learning,(CCN, VAEs, GANs)
 Background in basic or cognitive neuroscience

previous job ID: 28587