2 Postdocs at INRIA

Post-doctoral Positions
Ecole Centrale de Paris/INRIA-Saclay Ile-de-France
http://www.ecp.fr & http://www.inria.fr/saclay/home/view?set_language=en

The Galen group (http://vision.mas.ecp.fr) [approx 25 members], a joint research team between Ecole Centrale de Paris (one of the leading engineering schools in France - top three) and INRIA (leading research institute in the field of computer science and engineering) is looking for highly motivated candidates to work in the field of medical imaging and/or computer vision with emphasis on segmentation, registration, pose estimation and deformable image fusion / optical flow with a number of computer vision clinical applications. Both positions aim on methodological contributions applicable to a large spectrum of medical imaging and computer vision problems.

Post-Doctoral Positions [contact for additional details]

1. Segmentation/Registration and 3D Image-based inference towards Pose Estimation
This work aims it provide mathematical solutions to 3D pose estimation from 2D images. In particular tasks model-based segmentation and inference of articulated models from single/multiple views will be considered. The use of computer vision [motion analysis of sport videos] and medical imaging [spine modeling from bi-planar X-rays images] using higher order modeling, prior knowledge and image support will be jointly considered. Prior work on pose estimation, segmentation, registration will be appreciated.

2. Segmentation/Registration & Indexing towards Image-based Navigation from 2D images to 3D environment
This work aims to provide a fast, efficient and multi-modal 3D image-based navigation system using 2D multi-modal observations. During learning stage, 3D models that involve geometry and texture are associated with image views coming from multiple modalities. During navigation, images that might have undergone rigid as well as weak non-rigid deformations have to be mapped into the predefine 3D model. The method will be evaluated using two different applications, the first will be real-time navigation in virtual environments and the second computer-aided surgery that aims provide to surgeons of chest medicine a unique computer-aided tool towards real-time intra-operative navigation.

Successful candidates are expected to interact with numerous PhD students and M.Sc. interns working in various fields of medical image analysis and computer vision. PhD in applied mathematics, computer science, engineering with emphasis either in computer vision, medical imaging, machine learning, or optimization are more than welcome to apply.

The main objective will be scientific work of excellent quality for clinical research and publications to the best journals (IEEE T-PAMI, MedIA, IJCV IEEE-TMI,,...) and conferences in the field (ICCV, IPMI, ECCV, MICCAI, CVPR, ...).

- Duration: 12 months (renewable for 12 months)
- Availability: immediate
- Net salary income: ~2,500 Euros/month (according to qualifications) + benefits
- Location: South suburbs of Paris and is easily accessible with public transportation (~20/25min with the regional train from the heart of Paris).

Applications: please mail your resume to Prof. Nikos Paragios (nikos.paragios@ecp.fr) including a list of two potentials references.