PhD in AI for MEG Analysis in Epilepsy at Aix-Marseille Université Aix-Marseille Université in France

PhD position at Aix-Marseille Université: AI for MEG analysis in epilepsy

This doctoral opportunity is part of the BEYOND-AI project, a research program focused on improving the diagnosis and surgical treatment of drug-resistant epilepsy using artificial intelligence applied to brain recordings. The project aims to make MEG (magnetoencephalography) as informative as invasive SEEG by transferring knowledge from SEEG to MEG with deep learning, transfer learning, and domain adaptation.

The research is based at Institut de Neurosciences des Systèmes and Aix-Marseille Université, with supervision by Christian Bénar and co-supervision/partner involvement from Mustapha Ouladsine, Stefan Rampp, and Karim Jerbi. The project uses large clinical datasets from Timone Hospital in Marseille and combines neuroscience, medical science, and computer science methods to build probabilistic brain maps of the epileptogenic zone and predict surgical outcome.

Research keywords: neuroscience, epilepsy, MEG, SEEG, AI, deep learning, transfer learning, domain adaptation, multimodal data fusion, brain signal analysis.

Eligibility highlights: the call is for foreign applicants; candidates must hold a master’s degree or equivalent, have less than 4 years of full-time research experience, not have spent more than 12 months in France during the previous 36 months, and have English proficiency equivalent to B1 or higher. The thesis must be supervised by two researchers from different scientific domains, with at least one affiliated to an AMU Doctoral School.

Funding: SCHADOC doctoral fellowship / funded PhD position. No stipend amount is specified in the provided text.

Application: use the project page and the APPLY link, then submit the complete application package through the electronic submission system before the deadline. The post does not state the deadline date in the text provided.