The CREATIS laboratory announces the opening of a 36-month, fully funded PhD position starting
in September 2025. See details in the PDF file on the top right of the page. The full description can be found here.
Keywords: Image Reconstruction, Cryogenic Electron Tomography, Modeling, Deep Learning,
Computational Imaging, Optimization.
Summary: Cryo-electron tomography (cryo-ET) is an imaging technique that visualizes biological molecules and intracellular structures in their original 3D environment at nanometer resolution. Recovering the volume from observations faces a number of problems, such as high noise, dimension of the data, ill-possedness of the inverse problem or complex physical phenomenon to be modeled. In this thesis, we will develop reconstruction algorithms to improve the resolution of cryoET volumes.
Expected skills: To successfully complete this project, skills in mathematics, signal processing,
machine learning and computer science are required. An understanding of the physics of the
acquisition system and of the biological issues addressed by cryo-tomography will also be essential.
No previous knowledge in physics or biology is required, but an interest in these topics will be
highly appreciated.
The work carried out in this thesis will be supported by the expertise of the TOMORADIO
host team, whose members are interested in other tomographic imaging modalities, particularly in
medical imaging.
How to apply? Please send a curriculum, a motivation letter, and your academic records before
May 12th to valentin.debarnot@creatis.insa-lyon.fr and voichita.maxim@creatis.insa-lyon.fr.
