Research Scientist in Multimodal Machine Learning for Medical Imaging

il y a 3 semaines


Orsay, Île-de-France France Life Imaging Temps plein

Research Opportunity: A two-year postdoctoral position is available in the ANR funded MultiRecon project, a collaboration between the LaTIM in Brest, CREATIS lab in Lyon, BioMaps in Orsay, and the Poitiers University Hospital. The recruited person will be employed by CEA and affiliated to BioMaps (Orsay).

Project Goals: The project aims to develop new machine learning reconstruction techniques for PET/CT and PET/MRI multimodal imaging systems. The candidate will work on the development of new optimization algorithms for multimodal machine learning image reconstruction and integrate these algorithms in the open-source CASToR reconstruction platform.

Key Tasks:

  1. Develop new optimization algorithms for multimodal machine learning image reconstruction;
  2. Integrate these optimization algorithms in the open-source CASToR reconstruction platform;
  3. Apply and evaluate these techniques to PET/CT and PET/MRI data acquired by the project partners.

Location: Multimodal Biomedical Imaging Laboratory (BioMaps), University of Paris-Saclay / French Atomic Energy Commission (CEA), Orsay, France


Contact: For more details on the position, please contact Claude Comtat and Florent Sureau. To apply, send your CV, a cover letter, and your PhD grade.


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