ENACT Doctoral Scholarships – 2025

The ENACT AI Cluster launched in February 2025 its first call for PhD scholarships in AI. Up to 29 PhD scholarships will be awarded. You will find below the list of open PhD positions within the three themes of ENACT:

  • Natural language processing and multimodal LLMs
  • AI for engineering and scientific discovery
  • Digital health

as well as other topics in AI.

Click on the title of each position to read the full description and to apply.

Main Topic : Digital Health

City LabSupervisorTitle (click for full description and to apply)
StrasbourgICubeNicolas LACHICHEDrug interaction detection in ICU
StrasbourgICubeCédric WEMMERTIntegrating Knowledge Graphs and Neurosymbolic AIfor Rare Oro-Dental Anomaly Diagnosis
StrasbourgICubeStephane COTINDual control of catheter and guidewire for autonomous endovascular robotics
NancyLORIAMaxime AMBLARDAUTOMATIC ANALYSIS OF MENTAL HEALTH DATA FOR EARLY DIAGNOSIS
StrasbourgICubeVincent NOBLETArtificial Intelligence – Diagnostic Imaging of Adrenal Lesions (AI-DIAL)
StrasbourgICubeHyewon SEOMIND: Multi-modal Investigation of Neurodegenerative Diseases
NancyLEMTAJoël DUCOURNEAUArtificial Intelligence for Spatial Sound Processing Evaluation in Hearing Aids
NancyIADIAntoine VERGERGuiding clinical routine practice decisions using amino acid PET imaging for neuro-oncology with artificial intelligence models
NancyDevAHCyril SCHWEITZEROptimization of Mechanical Ventilation in Pediatric Intensive Care through Artificial Intelligence: Development of a Foundational Respiratory Model Integrated into a Clinical Decision Support System
StrasbourgICubeThomas LAMPERTOntology-Enhanced Multi-modal Self-supervised Learning for Histopathology
Strasbourg
ICubeFabrice THEOLEYRE
Real-Time Synchronized Digital Twin for Emergency Departments
Strasbourg
ICubeHassen DRIRA
Geometric deep learning on sequences of 3D shapes from medical data
Nancy
CRANDIDIER THEILLIOL
Large Language Model (LLM) based Intelligent Diagnostics and Prognostics of Cardiac Arrhythmia: Application to Cardiac Arrhythmia from a New Generation Bio-Prosthesis Membrane System – LLMARC
Nancy
CRANWalter BLONDEL
Optimal transport approaches for multimodal spectroscopic data automatic classification and modelling : application to human skin cancer in vivo diagnosis
Strasbourg
ICubeJulien GODET
Disentangling RNAseq Profiles: A Generative Adversarial Approach

Main Topic : AI for engineering and scientific discovery

Site LabSupervisorTitle (click for full description and to apply)
StrasbourgIRMALaurent NAVORETEfficient neural operator for forward and inverse wave proapagation problem
NancyIJLFrédéric BROCHARDFrom the characterization of turbulent magnetized plasmas to their active control with AI
StrasbourgIVHThomas BAUMERTHarnessing generative AI to identify the role of claudin proteins in gastrointestinal cancers
StrasbourgIGBMCAnaïs BARDETPrediction of transcription factor binding from single cell data using deep learning
StrasbourgICubeOdile LECOMPTEArtificial intelligence for large-scale homologous relationships inference
NancyIJLMiha ZALOZNIKAI-Driven Neural Operators for Modeling of Phase Transformations in Materials
NancyIJLBenoît APPOLAIREReal-Time XRD Analysis Using Deep Learning: A Data-Driven Approach for Adaptive Synchrotron Experiments
NancyIJLHalima ALEMAI-Driven Metasurfaces for Biomedical Applications: Optimizing Polymer-Functionalized Biointerfaces for Advanced Diagnostics and Biosensing (BioMetAI)
NancyLEMTAJean-Christophe PERRINOptimizing MRI for Energy Systems: Integrating Artificial Intelligence into Imaging Methods and Data Processing
StrasbourgICubeManuel FLURYArtificial intelligence to design innovative photonic metamaterials
NancyIJLEmilie GAUDRYLeveraging Machine Learning to Model Selective CO2 Hydrogenation to Methanol by sp-TM intermetallic compounds: A Computational Approach
NancyCRANMohamed BOUTAYEBDeep Reinforcement Learning and Optimization for state estimation and Control design of Interconnected Nonlinear Systems Under Constraints
NancyIJLPatrick SCHWEITZERFederated Learning for Arc fault detection in the context of small and varied datasets with a frugal model.
NancyCRANMario LEZOCHEExplainable Cognition: Merging Symbolic and Connectionist AI for Enhanced Explainability of Cognitive Models in Human-AI systems
NancyCRANThierry BASTOGNEDevelopment of machine learning methods for predicting cell viability and mortality in bioreactors.
StrasbourgICubeAhmed SAMETHybrid AI Approaches for Battery State of Health Prediction and Explainability Using Multimodal Data Fusion and Ontologies
StrasbourgICubePierre RENAUDMachine learning, metrology and robotics for the supervision of laser texturing with ultra-short pulses for surface functionalization
NancyCRANMoufida MAIMOURAnalyzing the Impact of Wireless Network Parameters on the Accuracy of Digital Twin Models Using Artificial Intelligence
NancyCRANAlexandre VOISINContribution to Cognitive Digital Twin for Prognostics and Health Management of Production Systems: enabling cognitive capabilities through Machine Learning and Ontologies
NancyLORIAHamed KHAKZADGeometric deep learning models to study intrinsically disordered proteins
NancyCRANPhuc DOA Deep Learning Approach for Predictive Maintenance: Enhancing Generalization and Transferability
StrasbourgIGBMCNacho MOLINAEngineering Biophysics-Informed Neural Networks to  Uncover Cell Cycle-Dependent Transcriptional and Post-Transcriptional Regulators Across Cell Types and Cancer Models
NancyAHPCyrille IMBERTAI-based scientific methods and explanatory understanding
NancyAHPCyrille IMBERTHow AI reshapes scientific discovery – an epistemological analysis
NancyCRANJean-Christophe PONSARTLarge Language Models (LLMs) Based Federated Learning Approaches for Intelligent and Integrated Predictive Maintenance with Deployment in Frugal Embedded Industrial and Real Time Environment
NancyAHPCyrille IMBERTReliability and reliabilism in the context of scientific AI-based methods
NancyLORIASlim OUNIMultimodal modeling of co-speech gestures: towards an automatic generation system for contextually relevant gestures
NancyLORIAFrançois CHARPILLETBackstepping in higher dimensions and AI to stabilize nonlinear systems
NancyLORIABernard GIRAULearning and tracking data distributions as neural graphs for embedded continual learning
NancyCRANJOSEPH YAMEData-based AI Augmented Fault-Tolerant Control of Dynamical Systems

Main Topic : Natural language processing and multimodal LLMs

Site LabSupervisorTitle (click for full description and to apply)
NancyLORIAYves LAPRIESpeaker-independent acoustic to articulatory inversion of the entire vocal tract based on rt-MRI
NancyLORIAMaxime AMBLARDSEMANTIC PARSER FOR NATURAL LANGUAGE
NancyCRANDavid BRIEGuaranteed efficiency and interpretability in self-supervised learning by leveraging tensor methods
NancyLORIAIrène ILLINAMultimodal domain adaptation of E2E speech recognition systems
NancyAHPManuel REBUSCHIRepresentations and Intentionality in Artificial Neural Network
NancyLORIAJean-Baptiste MOURETLarge-scale synthetic data to train multi-modal Vision-Action-Models for generalists robots
NancyLORIAJean-Charles LAMIRELDiachronic Bibliographic Data Cartography: Leveraging Advanced NLP, Graph-Based Visualization and Temporal Tracking Techniques
NancyLORIAIrène ILLINASocial-behavior-aware chatbot for a communication skills  coaching of medical students
NancyAHPAndrew ARANADisinformation within large language models : negationism and artificial intelligence.
StrasbourgICubeBernard BAYLELarge Language Models for Voice-Controlled Robotics
StrasbourgICubeCédric BASTOULOptimizing LLMs via Sketch-Guided Compilation
Nancy

LORIASlim OUNIMultimodal modeling of co-speech gestures: towards an automatic generation system for contextually relevant gestures

Other Subjects

Site PrénomTitle (click for full description and to apply)
NancyLORIABernard GIRAUSelf-organizing maps on neuromorphic circuits
StrasbourgICubeArthur CHARGUERAUDProgrammer-Guided Refinement from High-Level Specifications of Neural Networks down to High Performance Code
Strasbourg
ICubeFlorence LE BER
Clustering under constraints for multivariate and heterogeneous time series – Application to hydrological data
Nancy
IJLSlavisa Jovanovic JOVANOVIC
Flexible and Adaptable Hierarchical HW architectures for Prototype-based Neural Networks Models applied to Continual and Incremental Learning
Nancy
LORIABernard GIRAU
Learning and tracking data distributions as neural graphs for embedded continual learning
NancyBETA
Yamina TADJEDDINE FOURNEYRON
An eco-systemic approach of cybercriminality : Rethinking Macro/Meso/Micro Modeling and Techniques for Investigating and Preventing Cyber Threats