Inria
Post-Doctoral Research Visit F/M Exploring Variability in Medical Image Segmentation: New Metrics and Frameworks
Job Location
France, France
Job Description
A propos du centre ou de la direction fonctionnelle
The Inria center at Université Côte d'Azur includes 42 research teams and 9 support services. The center's staff (about 500 people) is made up of scientists of different nationalities, engineers, technicians and administrative staff. The teams are mainly located on the university campuses of Sophia Antipolis and Nice as well as Montpellier, in close collaboration with research and higher education laboratories and establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regional economic players.
With a presence in the fields of computational neuroscience and biology, data science and modeling, software engineering and certification, as well as collaborative robotics, the Inria Centre at Université Côte d'Azur is a major player in terms of scientific excellence through its results and collaborations at both European and international levels.
Contexte et atouts du poste
This postdoctoral position is part of the MEDITWIN project, a major French national initiative focused on exploring how virtual twins can enhance the quality of healthcare, making it safer and more accessible to all. MEDITWIN will enable healthcare professionals to simulate potential future scenarios for individual patients, offering new possibilities for personalized treatment and care.
The project combines both fundamental research and applied development, focusing on the creation, customization, and practical use of virtual twins in healthcare settings.
Mission confiée
The aim of the postdoctoral project is to develop innovative methodologies for assessing the quality of anatomical structure or pathology reconstructions from medical images. A critical but often overlooked issue in this domain is the inter- and intra-rater variability in image segmentation, which complicates the quantitative evaluation of segmentation algorithms beyond commonly used metrics like the Dice score or Hausdorff distance.
This project seeks to explore statistical frameworks that introduce novel segmentation metrics, particularly in cases involving multiple reference segmentations. The effectiveness of these metrics will be evaluated through several practical applications, providing a more robust means of performance assessment in medical image analysis.
Principales activités
Main activities (5 maximum) : propose new statistical frameworks, evaluate them on existing databases, write scientific papers, co-supervise students
Compétences
Avantages
Rémunération
Gross Salary : 2788 € per month
Location: France, FR
Posted Date: 9/26/2024
The Inria center at Université Côte d'Azur includes 42 research teams and 9 support services. The center's staff (about 500 people) is made up of scientists of different nationalities, engineers, technicians and administrative staff. The teams are mainly located on the university campuses of Sophia Antipolis and Nice as well as Montpellier, in close collaboration with research and higher education laboratories and establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regional economic players.
With a presence in the fields of computational neuroscience and biology, data science and modeling, software engineering and certification, as well as collaborative robotics, the Inria Centre at Université Côte d'Azur is a major player in terms of scientific excellence through its results and collaborations at both European and international levels.
Contexte et atouts du poste
This postdoctoral position is part of the MEDITWIN project, a major French national initiative focused on exploring how virtual twins can enhance the quality of healthcare, making it safer and more accessible to all. MEDITWIN will enable healthcare professionals to simulate potential future scenarios for individual patients, offering new possibilities for personalized treatment and care.
The project combines both fundamental research and applied development, focusing on the creation, customization, and practical use of virtual twins in healthcare settings.
Mission confiée
The aim of the postdoctoral project is to develop innovative methodologies for assessing the quality of anatomical structure or pathology reconstructions from medical images. A critical but often overlooked issue in this domain is the inter- and intra-rater variability in image segmentation, which complicates the quantitative evaluation of segmentation algorithms beyond commonly used metrics like the Dice score or Hausdorff distance.
This project seeks to explore statistical frameworks that introduce novel segmentation metrics, particularly in cases involving multiple reference segmentations. The effectiveness of these metrics will be evaluated through several practical applications, providing a more robust means of performance assessment in medical image analysis.
Principales activités
Main activities (5 maximum) : propose new statistical frameworks, evaluate them on existing databases, write scientific papers, co-supervise students
Compétences
- strong experience in statistical learning, and biomedical imaging are required
- Solid programming and IT skills are necessary (Python or C++, bash scripting).
Avantages
- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Contribution to mutual insurance (subject to conditions)
Rémunération
Gross Salary : 2788 € per month
Location: France, FR
Posted Date: 9/26/2024
Contact Information
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