Job offers

Ph.D. subject in signal processing and learning: Advanced auto-regressive models for the processing of MEG/EEG data

See the detailed description.

Contact: Theodore.Papadopoulo[at]inria.fr

A 3 month internship position is available to work on a (GPU) parallel implementation of an inverse problem solver for electroencephalography or magnetoencephalography (MEEG).

We have developed an algorithm that makes use of diffusion weighted magnetic resonance imaging (dMRI) and MEEG to estimate cortical activation and information flow in the white matter of the brain. The current C and Python implementation does not make use of parallelism and can only handle simplified models. The objective of the internship is to implement a parallel and optimized version of the algorithm that will run on GPUs.

During his/her stay, the inter will have the opportunity to learn about state of the art methods in dMRI, MEEG, and parallel programming in addition to working in a stimulating research environment (Inria & Athena Project Lab.) and experiencing life in the beautiful region of the French Riviera -Côte d’Azur- in France.

Required skills:

A background in parallel programming (CUDA/OpenCL) is required.

Familiarity with git, C, and Python are necessary.

INRIA Athena Project Lab.

https://team.inria.fr/athena/

To apply for this position, please contact samuel.deslauriers-gauthier@inria.fr