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PostDoc position in Applied Mathematics for brain imaging - Applied Mathematics, Image Processing

School/Institution:Aix-Marseille University, France, Marseille

Discipline: Applied Mathematics, Image Processing

Employment Type:Full-time

Posted:2021-10-09

Contact Person:If you wish to apply for this position, please specify that you saw it on AKATECH.tech

Summary

A 2 year PostDoc position is available at the Signal-Image team at I2M (Institut de Mathématiques de Marseille, the pure and applied mathematics laboratory at Aix-Marseille University, Marseille, France), together with the DYNAMAP team at INS (Institut de Neuroscience des Systèmes, Aix-Marseille University, France).

The position is funded by BMWs (a project sponsored by ANR, the French research funding agency), whose aim is to develop advanced methods for brain source localization from joint EEG, MEG and intracerebral EEG data. There is a possibility of extending the position to a third year at DYNAMAP.

Research project:

BMWs (Bayesian Meets Wavelets in spacetime, ANR-20-CE45-0018) is a project funded by ANR (Agence Nationale de la Recherche) which aims at developing advanced methods and algorithms for the EEG/MEG inverse problems.

The BMWs project involves Institut de Mathématiques de Marseille (I2M, Signal-Image Team), Laboratoire des Signaux et Systèmes (L2S, Inverse problem group, Paris-Saclay and Centrale Supelec, together with the PARIETAL team from INRIA) and Institut de Neurosciences des Systèmes (INS, DYNAMAP team, Marseille).

The EEG (electro-encephalography) and MEG (magneto-encephalography) source localization problems are strongly ill-conditioned. Current approaches suffer from severe limitations, among which a poor spatial resolution, the absence of modeling of temporal dynamics, and the difficulty to fuse modalities.

The main objective of BMWs is to develop and combine for the first time several state-of-the art techniques to estimate the fine spatio-temporal dynamics of brain networks with unprecedented precision and with quantification of uncertainties

The goal of the PostDoc project is to develop and study new approaches for the MEG/EEG inverse problem, with a focus on structured sparsity, and test and validate developed approaches on datasets (benchmark datasets and datasets obtained at DYNAMAP). Current research in the team focus on penalized least squares approaches, with penalizations such as total variation, or sparsity enforcing penalizations in the wavelet domain using cortical wavelet bases developed by the team.

This will be a natural starting point for the recruited researcher. Successful algorithms will be implemented into the freely available mne-python software, maintained (among others) by the PARIETAL team involved in BMWs. The recruited PostDoc will be invited to participate in the development.

A focus will be on inverse problem from multimodal data, for example joint EEG/MEG recordings, and more importantly joint MEG and intracerebral EEG (SEEG) recordings, which are now routinely collected at DYNAMAP. An important goal will be to assess quantitatively the agreement of SEEG data with the output of the MEG inverse problem, and if possible the performances of source localization when SEEG is taken into account.

QUALIFICATIONS/SKILLS/EDUCATION & RESEARCH REQUIREMENTS

The candidate will either be an applied mathematician with experience (or a least interest) in signal processing, inverse problem, statistical modeling and applications to brain imaging, and good programming skills, or originate from signal processing and/or computer science, with good knowledge in statistics and applied mathematics.

JOB LOCATION

The job will be mainly located at Institut de Mathématiques de Marseille (I2M), on the Château-Gombert Campus on the north-east of the city, with the Signal and Image processing team of the institute (the team is likely to move to another campus, located downtown, next to the main train station, in 2022 or 2023).

The group at I2M gathers approximately 10 researchers, PostDocs and PhD students, with expertise in various fields of mathematical and statistical signal and image processing.

The hired PostDoc is also epected to develop a strong collaboration with the DYNAMAP team at Institut de Neuroscience des Systèmes, located next to the La Timone hospital downtown.

REQUESTED DOCUMENTS OF APPLICATION

The application should contain

  • Curriculum Vitae
  • Motivation letter
  • List of publications, together with a description of research works
  • Letters of support

CONTACT TO APPLY

Please contact the PIs of the two Marseille partners of the BMWs project :

B. Torrésani (Bruno.Torresani@cmi.univ-mrs.fr)

C. Bénar (Christian.Benar@univ-amu.fr)

More information about the project is available at the website: https://anr-bmws.pages.math.cnrs.fr/

JOB DETAILS

Title: Two-year PostDoc position in Applied Mathematics for brain imaging

Employer: Aix-Marseille Université

Job location: Jardin du Pharo 58, bd Charles Livon, 13284 Marseille

Job types: Postdoc

Fields: Algorithms,   Statistics,   Programming Languages,   Software Engineering,   Applied Mathematics,   Computational Mathematics,   Signal Processing,   Image Processing

Contact Person: If you wish to apply for this position, please specify that you saw it on AKATECH.tech

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