We are recruiting a postdoctoral researcher to investigate early brain development in preterm infants using EEG and artificial intelligence at Picardie Jules Verne University, Amiens, France.
The project aims to develop AI-based models of cerebral maturation during the second and third trimesters of gestation, using one of the world’s largest neonatal EEG datasets (>15,000 recordings collected at Amiens University Hospital, France).
The project combines :
- Large-scale EEG analysis and phenotyping
- Machine learning / AI modeling of developmental trajectorie s
The goal is to build interpretable, scalable tools for evaluation of brain maturation in preterm neonates.
The project is conducted under the co-supervision of Prof. Sahar Moghimi (GRAMFC- Inserm UMR1105) and Prof. Florence Levé (MIS, UPJV), within GRAMFC (Inserm UMR1105, Ami ens) .
Profile / expertise
PhD in neuroscience, biomedical engineering, data science, or related field
Strong experience in EEG analysis and/or time-series analysis
Strong experience in machine learning and AI models
High skills in Python
Interest in neurodevelopment
Experience with large datasets is highly desirable.
Submission deadline: Jun e 15th, 2026
Start date: September 2026
Location: Amiens, France
Duration:12 months
Salary: According to University standards (depending on experience)
Applications including a CV with up-to-date list of publications, a motivation letter, and the contact information of two referees, should be send to sahar.moghimi@u-picardie.fr and florence.leve@u-picardie.fr