The 4-year project LIVES (Learning with Interacting Views), funded by the French National Research Agency (ANR), aims at developing innovative multi-view and multi-modal machine learning algorithms. As part of the LIVES consortium, our team at the Institut de Neurosciences de la Timone (INT, http://www.int.univ-amu.fr) is in charge of acquiring a large *multi-sequence MRI* dataset that will be used to benchmark these methods. This will include *anatomical*, *diffusion-weighte*d and *functional* (both resting state and task-based) MRI data. Our goal is to characterize the inter-subject variability observed in the cortical activation patterns measured with task-based functional MRI in the auditory cortex, in a task that involves the processing of vocal information, using the other acquired modalities. *Missions*. The data scientist will set-up processing pipelines dedicated to analyze the different MR scan types (univariate and multi-voxel pattern analysis methods for task-fMRI; advanced characterization of the cortical anatomy using high-level representations such as sulci and sulcal pits; estimation of structural and functional connectomes). He/she will organize the raw and processed data in a standardized fashion in order to make it accessible to the other members of the consortium in a first stage, and to the scientific community at large in a second stage. *Profile*. This position is for a candidate who is comfortable (or proficient) with *computer programming* (*python* will be our language of choice), has knowledge in *signal and image processing* and has a personal interest for *machine learning*. It can be of interest to different types of profiles. Either you are a young graduate (BSc or MSc) in data science, electrical engineering or neuroscience and you want to be at the heart of a project where medical imaging and machine learning meet, with the possibility to continue as a PhD student. Or you already have a PhD in a relevant domain and you want to take this opportunity to fulfill the aforementioned missions while getting further involved in the research aspects of the project, in machine learning or in neuroimaging. *Working environment*. INT is one of the top French neuroscience research institutes with 150 staff members in 10 inter-disciplinary teams examining different aspects of the cerebral organization. It is located on the medical campus of Aix-Marseille University. The successful candidate will join INT’s Neuro-Computing Center, who operates a high-end computing facility and pursues research at the intersection of machine learning and neuroscience. He/she will interact with other teams working on functional imaging of voice perception, computational anatomy, machine learning and MRI data acquisition. Marseille, the second largest city in France, is a vibrant inter-cultural hub located on the Mediterranean shore, and only 2h away from the Alps mountains. The position is initially open for one year, with a possible renewal for a second year. Starting date is around December 2016. If you are interested, please send your resume and cover letter before Septembre 30, 2016, to Sylvain_DOT_Takerkart_AT_univ-amu_DOT_fr and Pascal_DOT_Belin_AT_univ-amu_DOT_fr. -- Sylvain Takerkart Institut des Neurosciences de la Timone (INT) UMR 7289 CNRS-AMU Marseille, France tél: +33 (0)4 91 324 007 http://www.int.univ-amu.fr/_TAKERKART-Sylvain_?lang=en