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Reference : UMR7178-REGSOM-061
Workplace : STRASBOURG,STRASBOURG
Date of publication : Thursday, October 08, 2020
Type of Contract : FTC Scientist
Contract Period : 24 months
Expected date of employment : 15 December 2020
Proportion of work : Full time
Remuneration : Between 2643,22 and 3047,22 euros gross per month according to experience
Desired level of education : PhD
Experience required : Indifferent
Implementing data processing chain using artificial intelligence to optimize the intrinsic performance of detector in the context of Positron Emission Tomography
• to take part of the development of new PET detector modules based on TOF measurement
• to implement new data processing chain using artificial intelligence approach to optimize both spatial resolution and timing performance
• to fully characterize the new detector
• to promote the results in international conferences
• Skills in instrumentation are very appreciated, and/or clear motivation to work on instrumentation.
• Knowledge in artificial intelligence methodology is essential
• Some knowledge in electronics is welcome as well as Monte Carlo simulations.
• Fluent in English
• Good knowledge of usual computing and programming tools: C++, python, etc…
The molecular imaging team of the IPHC is participating in the improvement of detection modules for ionizing radiation.
At the crossroads of physics, chemistry, biology, and medicine, the Molecular Imaging team is involved in many pluridisciplinary programs, making bio-medical imaging a performing technology towards human being benefit.
The group's activities are concentrated around two main research areas. First, the group offers all the expertise needed for instrumental development in the field of imaging, and more specifically on "nuclear" imaging modalities such as PET and SPECT. These developments include the design of complete acquisition systems (electronic boards, ASICs, FPGAs, ...) as well as the development of detection modules with special expertise on scintillating crystal and photo-detectors.
The second major research focus of the group is the radiochemistry, in other words the labeling of molecules (anti-bodies, peptides, macro- and small molecules) with various PET and SPECT isotopes. The presence of the Cyrcé cyclotron is a strong asset in this field thanks to the production of various isotopes. This expertise in radiochemistry goes hand in hand with data analysis and quantification processes. Finally, the presence of a level 2 animal housing facilities offers the group a perfect autonomy to carry out research projects in preclinical imaging.
The real qualitative steps forward made in recent years in nuclear imaging are most often linked to decisive advances in technology. In clinical positron emission tomography, the current challenges are focused on time of flight measurement (TOF) and bimodal PET/MRI imaging. These two axes are closely linked to the performance of the detection modules and more particularly to the scintillating crystal/photodetector couple used and to the associated reading electronics.
TOF is the current evolution of choice to increase the signal to noise ratio of the reconstructed image. The contribution of the tools and methods developed within the framework of artificial intelligence combined with the improvement of technologies used for the detection of ionizing radiation open up promising prospects in the improvement of performance in PET imaging.
A 2-years postdoctoral position is opened in our group to take part of the development of new PET detector modules based on TOF measurement and to introduce artificial intelligence in the data processing chain. The main objective of the work is then to discern the real advantage of introducing AI methodology in PET detector development and to highlight its real potential.
Constraints and risks
Desired level of education: PhD in physics or applied mathematics
Contact : email@example.com
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