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  3. Mathematically-founded deep learning methods for image reconstruction in Compton camera SPECT

Mathematically-founded deep learning methods for image reconstruction in Compton camera SPECT

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.

Context and Objectives

Single Particle Emission Computed Tomography (SPECT) imaging is undergoing a significant revival,
driven by new clinical needs -particularly in oncology - and recent advances in detector technology.
Within this context, the TomoRadio team at CREATIS is opening a fully funded three-year PhD
position aimed at developing mathematically-grounded deep learning methods for image reconstruc-
tion tailored to a novel Compton camera system. This project is part of the HORIZON-EURATOM
AIDER project(Advanced Imaging DEtector for targeted Radionuclide therapy), an international
collaborative project between partners in France, Spain, Italy, Germany. It aims to design and val-
idate a new Compton camera prototype along with cutting-edge image reconstruction algorithms.
The successful candidate will contribute to the development of deep learning functionalities within
CoReSi [1], an open-source reconstruction code, leveraging the framework of convergent Plug-and-
Play methods for inverse problems [2, 3].

Candidate Profile: 

We are looking for a highly motivated candidate with a solid background
in applied mathematics, physics or signal/image processing. Familiarity with deep learning and
scientific programming with Python and PyTorch is highly desirable. Experience with resolution of
inverse problems, optimization, physical modeling will be a strong asset.


How to apply? Interested candidates are invited to submit the following documents:
• A detailed curriculum vitae (CV), including academic background, research experience, and
relevant technical skills
• Academic transcripts for both undergraduate and graduate studies.
Please send your application to voichita.maxim@creatis.insa-lyon.fr
Application deadline: 12/05/2025.
Shortlisted candidates may be invited for an online interview.

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Sujet détaillé (1.01 Mo)

Type

sujet de thèse

Statut

Recrutement en cours

Periode

2025-2028

Contact

voichita.maxim@creatis.insa-lyon.fr

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