Type annonces : Proposition de poste
[PhD] Learning poorly known and observed large scale complex systems
Context and Objectives Governing is forecasting. This proverbial saying is relevant to many situations of engineering interest where decisions must be taken based on predictions or when devising a suitable sequence of actions to achieve some goal requires a good knowledge of the effect of these actions onto the system…
[PhD] AI-accelerated SAXS tensor tomography by directional dark-field imaging
Funding: The project is funded for three years by the MIAI Cluster (Multidisciplinary Institute in Artificial Intelligence) Location: Grenoble Keywords: X-ray Dark-field Imaging, Small Angle X-ray Scattering, Computational X-rays, ImageReconstruction, Deep Learning Overview: This doctoral project aims to dramatically reduce the acquisition time and computational requirements of small-angle X-ray scattering…
[PhD] Single-pixel XRF-computed tomography using deep learning
Funding: The project is funded for three years by the MIAI Cluster (Multidisciplinary Institute in Artificial Intelligence) Location: Grenoble ou Lyon Keywords: Ghost Tomography, Computational X-rays, Image Reconstruction, Deep Learning. Overview: This doctoral project aims to develop a groundbreaking 3D imaging technique for non-destructive elemental analysis by merging the principles…
Postdoctoral Position — CALYPSO Project
CALYPSO — Clinique et AnaLYses PSychiatriques Objectives Development and validation of AI-based tools for the multimodal analysis of objective clinical markers in severe psychiatric disorders: Major Depression and Post-Traumatic Stress Disorder (PTSD)
[PhD] Thèse en IA et traitement du signal pour l’estimation du rythme cardiaque fœtal
Compétences attendues : Le/la candidate recherché(e) sera issu(e) d’une formation en traitement du signal, mathématiques appliquées ou apprentissage automatique. Il/elle devra être intéressé(e) par les aspects théoriques et expérimentaux liés à l’application visée. Sujet de thèse : Dans le contexte du monitoring fœtal, le cardiotocogramme (CTG), basé sur une mesure…
[Ing] Machine Learning Engineer
Date de publication : 26 mai 2026 Description de la mission L’emploi s’inscrit dans le cadre du projet de startup SequoIA Analytics, actuellement en phase de création. SequoIA Analytics offre des solutions innovantes pour l’analyse du trafic routier et des infrastructures, opérant à distance et immédiatement déployables. Pour cela, SequoIA Analytics exploite les données acquises le…
[PostDoc] « Design of secure short packet codes for IoT » – ETIS Cergy
A 1-year postdoc position on « Design of secure short packet codes for IoT » is available at the ETIS lab (UMR 8051 CY Université / ENSEA / CNRS) in Cergy-Pontoise, funded by the PEPR Future Networks project FITNESS of the French National Research Agency (ANR). Start date: September 2026 or as…
[StageM2] Hardware Implementation of an IoT Satellite Receiver
Scientific Context Direct-to-Satellite Internet of Things (DtS-IoT) technologies enable low-cost, battery-powered, low-power devices to communicate directly with a satellite in low Earth orbit at approximately 500 km altitude. This enables the transmission of low-data-rate information from remote geographic areas where no terrestrial infrastructure, such as a base station, is available…
[PostDoc] GENɸ : IA Générative 3D conditionnée par la géométrie, la structure et la physique
Présentation du laboratoire d’accueil Basé à Paris-Saclay, le CEA List est l’un des quatre instituts de recherche technologique de CEA Tech, direction de la recherche technologique du CEA. Dédié aux systèmes numériques intelligents, il contribue au développement de la compétitivité des entreprises par le développement et le transfert de technologies….
[PhD] Learning poorly known and observed large scale complex systems
Context and Objectives Governing is forecasting. This proverbial saying is relevant to many situations of engineering interest where decisions must be taken based on predictions or when devising a suitable sequence of actions to achieve some goal requires a good knowledge of the effect of these actions onto the system…
[PhD] AI-accelerated SAXS tensor tomography by directional dark-field imaging
Funding: The project is funded for three years by the MIAI Cluster (Multidisciplinary Institute in Artificial Intelligence) Location: Grenoble Keywords: X-ray Dark-field Imaging, Small Angle X-ray Scattering, Computational X-rays, ImageReconstruction, Deep Learning Overview: This doctoral project aims to dramatically reduce the acquisition time and computational requirements of small-angle X-ray scattering…
[PhD] Single-pixel XRF-computed tomography using deep learning
Funding: The project is funded for three years by the MIAI Cluster (Multidisciplinary Institute in Artificial Intelligence) Location: Grenoble ou Lyon Keywords: Ghost Tomography, Computational X-rays, Image Reconstruction, Deep Learning. Overview: This doctoral project aims to develop a groundbreaking 3D imaging technique for non-destructive elemental analysis by merging the principles…
Postdoctoral Position — CALYPSO Project
CALYPSO — Clinique et AnaLYses PSychiatriques Objectives Development and validation of AI-based tools for the multimodal analysis of objective clinical markers in severe psychiatric disorders: Major Depression and Post-Traumatic Stress Disorder (PTSD)
[PhD] Thèse en IA et traitement du signal pour l’estimation du rythme cardiaque fœtal
Compétences attendues : Le/la candidate recherché(e) sera issu(e) d’une formation en traitement du signal, mathématiques appliquées ou apprentissage automatique. Il/elle devra être intéressé(e) par les aspects théoriques et expérimentaux liés à l’application visée. Sujet de thèse : Dans le contexte du monitoring fœtal, le cardiotocogramme (CTG), basé sur une mesure…
[Ing] Machine Learning Engineer
Date de publication : 26 mai 2026 Description de la mission L’emploi s’inscrit dans le cadre du projet de startup SequoIA Analytics, actuellement en phase de création. SequoIA Analytics offre des solutions innovantes pour l’analyse du trafic routier et des infrastructures, opérant à distance et immédiatement déployables. Pour cela, SequoIA Analytics exploite les données acquises le…
[PostDoc] « Design of secure short packet codes for IoT » – ETIS Cergy
A 1-year postdoc position on « Design of secure short packet codes for IoT » is available at the ETIS lab (UMR 8051 CY Université / ENSEA / CNRS) in Cergy-Pontoise, funded by the PEPR Future Networks project FITNESS of the French National Research Agency (ANR). Start date: September 2026 or as…
[StageM2] Hardware Implementation of an IoT Satellite Receiver
Scientific Context Direct-to-Satellite Internet of Things (DtS-IoT) technologies enable low-cost, battery-powered, low-power devices to communicate directly with a satellite in low Earth orbit at approximately 500 km altitude. This enables the transmission of low-data-rate information from remote geographic areas where no terrestrial infrastructure, such as a base station, is available…
[PostDoc] GENɸ : IA Générative 3D conditionnée par la géométrie, la structure et la physique
Présentation du laboratoire d’accueil Basé à Paris-Saclay, le CEA List est l’un des quatre instituts de recherche technologique de CEA Tech, direction de la recherche technologique du CEA. Dédié aux systèmes numériques intelligents, il contribue au développement de la compétitivité des entreprises par le développement et le transfert de technologies….

