Spatio-temporal Variability of the Middle and Upper Atmosphere: Characterization of Multi-Source Data, Aggregation, and Use Cases for Artificial Intelligence
The MATRIA project (Real-Time Middle and Upper Atmosphere Using Artificial Intelligence) aims to
develop and evaluate proof-of-concepts in artificial intelligence for the real-time
forecasting of atmospheric fields (winds, temperature, density) on a global scale across the entire
0–150 km column. Led by an IRD-CEA-ONERA consortium, it is part of the
dual-use (civil/defense) exploratory research framework of the ASTRID call (Specific Support for
Research of Defense Interest), addressing strategic challenges related to understanding
the atmospheric environment for forecasting, infrasonic monitoring, and decision support. However, current approaches to monitoring consist of fusing real-time data up to the stratosphere with climatological data (seasonal trends) in the upper layers. To meet operational surveillance requirements, a tool must be developed to forecast atmospheric conditions in real time up to the lower thermosphere (~150 km). Artificial intelligence could help address this need.
Data Mining and Accelerated Characterization for Understanding Oxidation in Duplex Layers
The FOCACCYA project, conducted over two years by an interdisciplinary consortium (CEA, Institut Clément Ader), aims to understand and prevent the formation of duplex oxide layers, which are critical for material corrosion in industrial environments such as nuclear reactors. It combines bibliographic and experimental data mining, statistical analysis, and advanced characterization experiments to identify the key parameters of this phenomenon. The results will be integrated into a database to model corrosion mechanisms and improve material protection. The recruited candidate, on a two-year post-doctoral contract, will be responsible for setting up the database and exploiting it using numerical methods (statistics, ML, and AI).
Postdoctoral Research Engineer in Dosimetry for VHEE Radiotherapy
As part of the FRATHEA project, the LNHB is tasked with developing primary absorbed-dose standards for very-high-energy electron beams (VHEE, > 50 MeV) delivered at ultra-high dose rates (FLASH), intended for applications in innovative radiotherapy.
The person appointed to this position will be involved in all stages of the development and transfer of these standards.
Postdoctoral Researcher Position - Dosimetry of Flash-VHEE beam for radiotherapy
Postdoctoral open position at LNHB related to Dosimetry of VHEE beams for radiotherapy.
The position is based at DOSEO platform at the CEA Paris-Saclay site, France.
As part of an innovative radiotherapy project, FRATHEA, the laboratory is developing primary absorbed dose references for very high energy electron beams (VHEE, > 50 MeV) delivered at ultra-high dose rates (FLASH), for use in radiotherapy.
The dosimetry part of the project aims to ensure metrological traceability of dose measurements in these extreme beams by establishing primary standards and to achieve the transfer of these references to secondary standards (ionization chambers, diamond detectors, chemical or radiochromic dosimeters, etc.) adapted to the clinical environment.
Post-Doctoral Researcher in Solid-State Li-ion batteries
Do you want your work to have an impact on the ongoing Energy Transition? Atomic Energy and Alternative Energies Commission, Laboratory for Innovation in Technology for Energy and New materials (CEA/LITEN) located in Grenoble, France, is one of the world’s leading centers for the battery research with excellent facilities both for fundamental and industry-grade purposes. In the frame of emergent need for greener energy, one of our missions is to facilitate implementation of electric transport via advancing rechargeable batteries. LITEN is an active member of Carnot Energies du Futur - The Carnot Institute for New Energy Technologies (Home - Institut Carnot).
We are looking for a highly motivated post-doctoral researcher to work on a Carnot project dedicated to the development of air-stable solid electrolytes for Li-ion batteries to further facilitate their practical implementation. The project suggests chemical modification of the electrolyte, its advanced characterization using a set of physico-chemical methods including dynamic nuclear polarization (DNP)-enhanced solid-state nuclear magnetic resonance (NMR) measurements and representative tests in small-scale batteries. A multidisciplinary team is involved in the project with much excellence and expertise in the topic. An example of a recent related research can be found here: https://doi.org/10.1016/j.ensm.2025.104742. New ideas, publications, patents and articipation at international
conferences are targeted.
Solving electromagnetic integral equations: from high-order discretization to H-matrix compression
The simulation of electromagnetic (EM) wave problems plays a key role in many fields, ranging from object characterization and inspection to radar stealth. A common approach consists in transforming the initial 3D volumetric problem into a 3D surface integral equation defined at material interfaces and discretizing it using a Boundary Element Method (BEM). High-order (HO) discretization schemes accelerate approximation convergence and thus provide a significant gain in accuracy for a given number of mesh elements, but complicates the assembly of the linear system. In particular, the calculation of singular and quasi-singular integrals becomes challenging, while the integration of HO methods into fast compression algorithms based on the hierarchical matrix formalism (HMAT) raises questions about the overall efficiency of the BEM. This postdoctoral position aims to address these in order to obtain a solution that is both efficient and robust for the targeted EM applications.
Post-Doctoral Position in Rapid Sintering Techniques for Low-Temperature Protonic Ceramic Electrochemical Devices
High-temperature electrolysis cells (SOECs) enable hydrogen production with high efficiency, but their operating temperature (700–800°C) leads to accelerated degradation. Protonic ceramic cells (PCCs) represent a promising alternative, operating at 300–400°C with high theoretical performance. However, their development faces a major bottleneck: the instability of the BaCeZrYO3-d (BCZY) electrolyte during conventional sintering at 1500°C, which causes Ba evaporation, Y segregation at grain boundaries, and an increase in ohmic resistance, all of which degrade cell performance.
RAPIDCELL project aims to leverage two ultrafast sintering techniques — photonic flash light annealing (FLA) and microwave-assisted sintering (MWA) — to densify the BCZY electrolyte at low temperature (<450°C). To date, no study has documented their combined impact on chemistry (Ba, Y), microstructure, and the performance of the co-sintered H2 electrode. The project addresses these challenges by combining BCZY synthesis, FLA/MWA parameter optimization, and multi-scale characterization (SEM-EDS, XRD, impedance spectroscopy). The most promising solution will be validated on a commercial-scale cell (100 cm²). RAPIDCELL thus opens perspectives for high-impact applications: reversible PCCs, co-electrolysis, and NH3 synthesis.
Development of a neutron imaging simulation software applied to NDT
CEA-List is developing CIVA, a reference platform for non-destructive testing (NDT) simulations, particularly X-ray radiography using the Monte Carlo method.
The project aims to extend these capabilities to neutron imaging, which complements X-ray radiography due to its different sensitivity to chemical elements. The goal is to develop the necessary digital tools for industrial neutron imaging simulation, with an eventual link to an experimental platform.
The post-doctoral researcher will first work on implementing a simplified neutron imaging model for thermal and fast neutrons. Next, they will account for scattering effects using the Monte Carlo method, in collaboration with CEA DES. Finally, experimental validation will assess the model's ability to reproduce experimental observations, using existing data and data to be acquired on large instruments.
The project is cross-cutting across CEA-List/DRT, DES, and DRF, with exchanges focusing on the comparison of different neutron simulation codes.
Exploratory study of actinium-225 production capabilities in research reactors and particle accelerators
This postdoctoral research project will examine various methods of producing the medical radioisotope 225Ac. These methods will involve irradiating 226Ra using either a material testing reactor (such as the Jules Horowitz Reactor) or a particle accelerator (such as a cyclotron or a rhodotron). The study will determine the optimal conditions for producing 225Ac, including the type and energy of the incident particles, the target material used, and the corresponding production yields, as well as the quantity of contaminants generated.
The first part of the work will involve modelling the irradiation characteristics in research reactors and particle accelerators. This modelling will be carried out at the Department of Reactor Studies at the IRESNE Institute, at the CEA Cadarache site. Monte Carlo simulations using TRIPOLI4®, GEANT4 and PHITS – developed by the CEA, CERN and JAEA, respectively – will be employed to model the JHR and the particle accelerators.
The second part of the project will be carried out in close collaboration with several CEA laboratories. These laboratories will host the postdoctoral researcher on an ad hoc basis to support them through the subsequent stages of the project.
The CHICADE facility in Cadarache is responsible for designing the targets. The proposed work involves identifying the main steps for manufacturing the targets by electrodeposition, starting with a stock of 226Ra-containing material. If possible, a feasibility study will also be conducted on non-irradiated targets with the same properties (cerium/barium model material).
In collaboration with the DRMP units responsible for modelling the thermomechanical aspects of the targets, the proposed work will also involve conducting a feasibility study on the ion irradiation of a model target at a facility such as JANNuS-Saclay or GANIL.
Exploring the atomic configuration space with generative AI for the simulation of chemically disordered nuclear materials
How do you predict a material's properties when the number of possible atomic configurations exceeds 2^2500? That is the bottleneck our IRESNE (nuclear fuel physics) and LIST (AI) teams have just cracked with PULSE, a generative (VAE) method published in Nature Scientific Reports, already cutting computational cost by more than two orders of magnitude (22,282 CPU hours down to 85 on a test case). With no known equivalent in the international literature, PULSE positions CEA as a pioneer in generative sampling of the configuration space of chemically disordered materials.
This 24-month postdoc gives you the opportunity to drive this method toward its next generation, leading three ambitious, parallel research axes: pushing model accuracy on systems of several thousand atoms with an IWAE architecture; equipping it with the ability to quantify its own uncertainty — a prerequisite for any use in nuclear safety; and, in the second year, tackling a high-value exploratory axis — generalizing PULSE to a continuous latent space, opening the door to any disordered crystal or alloy.
You will work at the heart of an all-CEA consortium bringing together two complementary strengths — atomistic nuclear fuel physics at IRESNE and state-of-the-art generative AI at LIST — with access to CEA supercomputers, the freedom to publish in top-tier journals, and the prospect of seeing your results feed directly into reactor safety analyses through the PLEIADES platform. A position built for a curious mind who wants to combine cutting-edge generative AI research with concrete impact on a strategic nuclear-energy challenge.