Please find the following job posting:
_______________________________________________________________________________
Job offer:
https://team.inria.fr/parietal/job-offers/
Motivational blog post:
http://gael-varoquaux.info/blog/?p=175
_______________________________________________________________________________
We are looking for a research engineer to assist us in applying
leading-edge machine-learning methodology to large databases of fMRI
resting-state functional-connectivity.
In a few words, we want to leverage the nilearn
(
http://nilearn.github.io) library for machine learning on brain imaging
as well as internal research in the Parietal team
(
http://http://team.inria.fr/parietal/) at INRIA, to learn predictive
biomarkers of pathologies from unique large fMRI databases. These
databases are hosted at the CATI (
http://cati-neuroimaging.com/) and
encompas multiple pathologies, with match control subjects, aquired
nation-wide in France.
As a research engineer, you will be taking part to the NiConnect research
project
(
http://parietal.saclay.inria.fr/research/spatial_patterns/niconnect),
developing tools for the analysis of "functional connectomes": brain
connectivity infered using functional MRI. The project unites
neuroscientists, data-miners, statisticians and clinical researchers to
transfer recent advances in basic neuroscience to clinical diagnostic
tools. You will work hand in hand with the computer science and
statistics researchers, as well as the clinical researchers.
Your duties will be:
* to integrate the functional-connectivity tools developed in nilearn
* into
the CATI analysis pipelines.
* to validate functional-connectivity approaches and extract new
* bio-markers
for specific applications to dementias using CATI datasets. Targeted
applications include the prediction of Alzheimer's disease based on the
unique nation-wise cohort of elderly people that is managed by CATI.
* to assist writing publications in relation with those activities.
* to contribute to the nilearn library (
http://nilearn.github.io) in
order to make functional-connectivity analysis on large cohorts easier.
You will be employed by CATI (
http://cati-neuroimaging.com/) (itself
part of CEA, which manages the Neurospin brain-imaging platform), but you
will be embedded in the Parietal computer science group
(
http://http://team.inria.fr/parietal/) in which I group, and that is
affiliated to INRIA, the French computer science research institute.
Requirements
=============
* Masters or PhD in computer science, electrical engineering,
* neuro-imaging
or a related field.
* Previous experience with medical imaging/neuroimaging
* Good technical English level
* A goal-oriented, practical approach to running data analysis
* Knowledge in image processing, statistical analysis or machine learning
desired
* Programming experience, in particular in Python and/or open source
libraries, welcomed
* Some knowledge of Linux/Unix appreciated
* Experience with a computing cluster is a plus
Speaking French is not a requirement, as it is an international team.
Why apply to this job?
======================
As for any job, the best reason to apply to this job would be because you
are excited to learn new things. Parietal and CATI are highly-skilled
environment, with expertize in advanced neuroimaging data processing,
machine learning, statistics, neuroscience, and high-quality software
development in Python.
About the team
===================
Working at Parietal is a unique opportunity to be at the core of
statistical methodological research for neuroimaging and to improve your
skills in data processing in Python.
Parietal (
https://team.inria.fr/parietal/) is part of INRIA
(
http://www.inria.fr), the French computer science research
institute, recognized world-wide as one of the leading computer-science
research institutions. Parietal is a small research team (around 20
people) with a fine understanding of statistical and algorithmic issues
in neuroimaging data processing as well as an excellent technical
knowledge of scientific computing in Python.
Parietal is committed to helping to build an open-source neuroimaging
data-processing community. its members are core developers in central
projects Python data-processing tools such as the nilearn
(
http://nilearn.github.io) library for machine learning applied to
NeuroImaging, scikit-learn (
http://scikit-learn.org), the reference
machine learning library in Python, Mayavi
(
http://docs.enthought.com/mayavi/mayavi/) for 3D visualization, as well
as the nipy (
http://nipy.org) library for NeuroImaging.
(
CATI<http://cati-neuroimaging.com/) is the national core facility
for multicenter neuroimaging studies. CATI brings together neuroimaging
research laboratories with complementary expertise located at NeuroSpin,
the largest French MR research institute, and in La Pitié-Salpêtrière
Hospital, the largest French hospital. CATI's services cover
standardization of MRI data acquisitions, data transfer to a centralized
database, monitoring and quality control, and image analysis using a
large portfolio of tools that include machine learning approaches.
Initially designed to address Alzheimer's disease- specific needs, the
platform is now open to academic research projects and therapeutic trials
targeting any neuropsychiatric disorder. CATI's core laboratories have
many years of experience in the coordination of multi-site neuroimaging
research. Its infrastructure stretches across the country, collecting
additional know-how from all the French groups and organizations involved
in neuroimaging, in order to offer the best tools for scientific
projects. CATI has already received over 5000 exams from its harmonized
network of over 50 sites. Over 10000 images of multiple modalities
(anatomical MRI, functional MRI, diffusion MRI, PET, SPECT) have been
processed resulting in various anatomical and functional measures. CATI
is a core member of the NiConnect project.
Parietal as well as the core team of CATI are located in the Neurospin
brain research facility
(
http://www-dsv.cea.fr/en/instituts/institut-d-imagerie-biomedicale-i2bm/ser…),
that hosts several brain scanners and research teams in neuroscience and
medical imaging.
Contact Info
==============
* Technical Contact: Gael Varoquaux
* E-mail contact: gael.varoquaux(a)inria.fr
* HR Contact: Catherine Champseix
* E-mail Contact: catherine.champseix(a)gmail.com
* No telecommuting
* Fixed-term contract. Duration 24 month, with possible extension of 12
* months.
* Salary depending on experience
* Experience required: some professional experience in neuroimaging or
data processing
--
Gael Varoquaux
Researcher, INRIA Parietal
Laboratoire de Neuro-Imagerie Assistee par Ordinateur
NeuroSpin/CEA Saclay , Bat 145, 91191 Gif-sur-Yvette France
Phone: ++ 33-1-69-08-79-68
http://gael-varoquaux.info http://twitter.com/GaelVaroquaux