2016/06/23 Post-doctoral position in 3D imaging, Lyon

France Life Imaging; Grenoble; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

Un laboratoire de recherche en imagerie médicale recherche un postdoctorant pour développer des méthodes d'analyse d'images 3D, quantifier les structures osseuses et traiter de grands ensembles de données. Le candidat idéal possède un doctorat en traitement d'image et des compétences en mathématiques appliquées et en programmation, avec un bon niveau en anglais. Ce poste se déroulera à Grenoble au sein d'un environnement international et multidisciplinaire.

Qualifications

• Doctorat en traitement d'image ou domaines connexes requis.
• Compétences en mathématiques appliquées, physique, et traitement du signal.
• Expérience en développement logiciel nécessaire.

Responsabilités

• Développer des méthodes d'analyse d'images en 3D.
• Quantifier les structures au niveau cellulaire.
• Gérer des ensembles de données très volumineux.

Connaissances

Mathematics appliquée

Physique

Traitement du signal

Programmation MATLAB

C/C++

ITK

VTK

Application biomédicale

Anglais courant

Formation

Ph D en traitement d'image ou domaines connexes

Outils

MATLAB

C/C++

Description du poste

Contexte et mission

Type de structure : CREATIS, UMR CNRS 5515, INSERM U630, Lyon
Team 4 “Tomographic Imaging and Therapy”
Work location : ESRF, Grenoble
http://www.creatis.insa-lyon.fr
Employer: CNRS through a grant from the ANR project

A Postdoctoral position is available for a highly motivated Scientist to join an ongoing research program focused on three dimensional micro-imaging of bone tissue. The position is available in the team “Tomographic Imaging and Therapy” of the CREATIS laboratory specialized in multi-modality Medical Imaging.

Research project: The team is working with the ESRF (European Synchrotron Radiation Facility) in Grenoble, to develop new imaging methods based on Synchrotron Radiation micro and nano Tomography (SR micro and nano-CT) to characterizing bone tissue.

The medical context of this work is the understanding of bone fragility in disease such as osteoporosis. In the past, extensive work has been devoted to the characterization of the trabecular and cortical bone micro-structure. However, at the cellular scale, the osteocyte system which plays a fundamental role in bone mechano-transduction has received less attention.

To quantify bone tissue at this scale, we use a new state-of-the-art technique developed at the ESRF: synchrotron magnified X-ray phase nano-CT which provides 3D images at spatial resolution up to 30nm.

The goal of the proposed work is to develop 3D image analysis methods to quantify structures at this scale, including the bone cell network and collagen fiber (in particular their 3D orientation).

The work requires methodological developments regarding data acquisition and 3D image analysis (image segmentation and image quantification) with the constraint to process very large data sets (>32 GB/image).

This project will be held in a multidisciplinary and international environment. It is done within the context of the ANR MULTIPS project including 5 research partners in complementary fields: physics, ultrasound imaging, biomechanics, bone research and image analysis.

Date : Sept 2016 – Dec 2017

Diplômes requis

Ph D in image processing or related topics

Compétences requises

Background in applied mathematics, physics, signal processing, and scientific computing - Strong knowledge in software development: MATLAB, C/C++, ITK, VTK - Interest for instrumentation and biomedical applications - Fluent English (both written and spoken) and communication skills