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Portal > Offres > Offre UMR8609-REJBOD-009 - Chercheur en physique nucléaire H/F - Tracking gamma en machine learning et amélioration des performances d'AGATA

Post-doctoral researcher – Machine learning for gamma-ray tracking and performance upgrade of AGATA

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Français - Anglais

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General information

Reference : UMR8609-REJBOD-009
Workplace : ORSAY
Date of publication : Monday, October 07, 2019
Type of Contract : FTC Scientist
Contract Period : 24 months
Expected date of employment : 1 December 2019
Proportion of work : Full time
Remuneration : Monthly gross salary between 2695€ and 3841€ according to experience
Desired level of education : PhD
Experience required : 1 to 4 years


For decades, the study of the gamma-ray decay of quantal states of the atomic nucleus has played a pivotal role in discovering and elucidating the wide range of phenomena manifested in its structure. Each major technical advance in gamma-ray detection devices has resulted in significant new insights into nuclear science.
The AGATA (Advanced GAmma Tracking Array)project is a European collaboration (currently consisting of 40 partners from over 10 countries) to build the ultimate gamma-ray spectrometer based on gamma-ray tracking for nuclear physics applications. AGATA is a Germanium-based modular detector made of highly segmented crystals. It is instrumented with state-of-the art digital electronics and a high-throughput data acquisition system to reconstruct the trajectories of the gamma rays as they interact in the Germanium crystals. Since its demonstration phase in 2003-2008, AGATA has been installed at leading European Accelerator facilities (INFN-Legnaro, GSI, GANIL) and has been growing constantly starting from 15 detectors in 2009 and reaching 45 detectors in 2019. The project is entering now into its 2nd phase with the
construction of the 4 pi array (180 detectors) and upgrades in all the susbsystems are being studied in order to achieve full tracking performance.
The focus of this project consists in developping new and improved tracking algorithms using machine learning methods.
The succesful candidate will use simulated data as well as experimental data to capture the patterns of Compton scattering and aspects beyond it (materials, geometry, electronics,…). Possible applications to gamma-ray imaging for nuclear medecine, nuclear decomissioning and astronomy are foreseen.


Adapt and apply novel tracking techniques using Machine Learning (Training, validation and tests)
Optimization/upgrade of AGATA performance
Work in collaboration with the AGATA and GRETA members
Participate in the AGATA physics campaigns at GANIL
Prepare research articles for publications
Present the work at scientific conferences, workshops, meetings and seminars
The candidate will be a member of the SNO group and will naturally participate to nuclear structure experiments/analysis with AGATA, GRETA or Gammasphere


The successful candidate should possess excellent technical skills, as demonstrated by scientific publications in major refereed journals, conference presentations, etc., and a general knowledge of physics.

-programming in C, C++, ROOT
-experience in artifical intelligence techniques is highly desirable
-experience in semiconductor detectors for gamma-ray spectroscopy is highly desirable
- Ability to work in a team environment
- Good command of spoken and written English.
The minimum qualification required of the candidate is a doctorate in physics or computer science.

Work Context

The position will be held within the SNO (Nuclear Structure) research group at Orsay. The group is part of the CSNSM (Centre de Sciences Nucléaire et de Sciences de la Matière).
The laboratory comprises about 80 staff and is supported by the IN2P3/CNRS, Université Paris-Sud and Université Paris-Saclay.
The laboratory is situated on the Orsay Campus south of Paris. The SNO group focuses on nuclear structure research studies of nuclear shapes, of exotic nuclei, and of heavy and super-heavy nuclei. The group members are also strongly involved in development of instrumentation for nuclear physics studies such as those using germanium detectors for high-resolution gamma-ray spectroscopy.
To date, the most advanced implementation of the gamma-ray tracking concept can be found in two arrays: AGATA (Advanced Gamma Tracking Array) and GRETA (Gamma Ray Energy Tracking Array) in the EU and USA, respectively. These spectrometers are being designed and built to eventually achieve nearly full 4π coverage.
A number of methods have been developed to track the data from these arrays and they are mostly based on, or make use of, at least the Compton–scattering formula. Both AGATA and GRETINA/GRETA are routinely employing what is known as the forward tracking algorithm.

Constraints and risks

This position has an anticipated start date of December 1, 2019 and is for an initial duration of two years.
Short duration trips to France and abroad.

Additional Information

Only applications submitted via the CNRS Employment Portal will be considered.
Please submit a cover letter and a CV.

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