Join us
The Center for Mathematical Morphology (CMM) welcomes French and foreign doctoral students and interns. The research conducted at CMM is related to image processing in general and to mathematical morphology in particular. The fields of application are multiple: multimedia, electronics, materials sciences, industrial control and medicine. Theory and practice are the two guiding axes of most of the work carried out at the CMM:
- The theoretical axis corresponds to the ongoing development of mathematical morphology
- the practical axis is materialized through industrial collaborations which give a precise application to theses and internships.
The working environment within the site of Mines ParisTech in Fontainebleau is pleasant. One hour from Paris, the site brings together around 400 researchers. And those who live there have at their disposal one of the most beautiful forests in France!
Openings
- We don't have any open researcher position at the moment. You can find below our PhD and internships offers.
PhD Thesis Proposals
The duration of a PhD thesis is three years; foreign applicants should preferably speak French. If this is not the case, they must be ready to follow an intensive language course upon arrival.
Each thesis proposal is accompanied by a brief description of the research work to be carried out, and indicates the person to contact for more information or to submit your application.
- 01/03/2024 - Morphological layers in neural networks: how to train them and how to use them for image analysis
- supervised by Santiago Velasco Forero et Samy Blusseau
- 01/03/2024 - Deep learning based approaches for hyperspectral
imaging: application to non-destructive control
- supervised by Bruno Figliuzzi
PhD Post-doctoral Positions
Each proposal is accompanied by a brief description of the research work to be carried out, and indicates the person to contact for more information or to submit your application.
- 01/12/2023 - Development of machine learning methods for the design of architectured materials
- supervised by François Willot, Paco Chinesta (ENSAM) and Jesus Angulo
Internships proposals
- 01/12/2023 - Segmentation and quantification of 3D LC-OCT images using Deep learning
- supervised by J. Breugnot (SILAB), J. Angulo et E. Decencière