Call for Applications – Doctoral Contracts at SCAI

Are you a talented and motivated researcher looking to pursue a PhD? The Sorbonne Center for Artificial Intelligence (SCAI) invites applications for Doctoral Contracts as part of its 2025 call for projects!

***** Explore the Proposed PhD Projects – 2025 Institutes & Initiatives Program*****

Application Process:

March 26 – May 5, 2025:

• Browse the listed PhD projects (below) and contact the project supervisors.

• Only one candidate per project can apply—the supervisor will decide which candidate to support.

May 5 – May 18, 2025:

• Pre-selection of candidates for oral interviews by the SCAI jury.

May 12 – June 2, 2025:

• Oral interviews for pre-selected candidates. Candidates will be evaluated on:

✅ Academic excellence and research skills

✅ Fit between their profile and the project

✅ Ability to understand, explain, and defend the project before the jury

June 4, 2025:

• Final results will be communicated to selected and non-selected candidates.

 

List of the projects:

Ecole Doctorale Cerveau, cognition, comportement (ED 158)

• Project : How does neuronal variability impact decoding of visual features ? - Project leaders : Ulisse Ferrari et Thierry Mora
• Project : Novel PET and MRI based markers for predicting response to IDH inhibitors in gliomas - Project leaders : Mehdi Touat et Bloch Isabelle

Ecole Doctorale Complexité du vivant (ED 515)

• Project : Bioengineering of cellular membrane-less organelles via AI-designed peptide arms (PeptArms) - Project leaders : Amir Pandi et Lindner Ariel B.

Ecole Doctorale Concepts et langages (ED 433)    

• Project : Artificial Representations and Intentionality in Machines - Project leaders : Anouk Barberousse et Yvon François
• Project : Mutations technologiques et pratique journalistique  Le cas des générateurs de texte automatiques - Project learder : Pascal Froissart    

Ecole Doctorale Géosciences, ressources naturelles et environnement (ED 398)    

• Project : Unraveling the geothermal potential of Colombia: The benefits of Machine Learning in the modelling of geothermal systems by Play Fairway Analysis  - Project leader :  Frédérique ROLANDONE    

Ecole Doctorale Informatique, télécommunication et électronique de Paris - EDITE (ED 130)

• Project : Online packing with multiple predictions - Project leader : Christoph Dürr  
• Project : Automatic Contact-Free Assessment of the Source of Pain Using Artificial Intelligence - Project leaders : Abdenour HADID et Rida Imad
• Project : Geometric Machine Learning for Enhanced Modeling of Elongation and Theoretical Inquiries - Project leaders : Elodie Laine et Sergeant-Perthuis Grégoire  
• Project : Casser des graphes - Project leaders : Matthieu Latapy et Kedad-Sidhoum Safia
• Project : Deep learning methods for 3D prediction, identification and classificationof macromolecular surfaces in cryogenic electron tomography (Cryo-ET) - Project leaders : Matthieu Montes et Lagarde Nathalie
• Project : Machine Learning for Acoustical In-Painting in AR: Enhancing Immersive Audio Realism - Project leaders : Nicolas OBIN et Markus Noisternig  
• Project : Responsible AI bridging Computational Pathology and Spatial Transcriptomics in Neuropathology - Project leader : Daniel Racoceanu        
• Project : Unsupervised pre-training of flexible multitask agents by learning to achieve a large diversity of goals - Project leaders : Olivier SIGAUD et Perrin-Gilbert Nicolas
• Project : Dynamic graph generation to simulate spreading for large online social platforms evaluation - Project leaders : Lionel Tabourier et Naima Mehdi
• Project : Apprentissage automatique pour l’amélioration du confort‬ ‭ sonore quotidien de personnes autistes - Project leader:‬ Charlotte Truchet      

Ecole Doctorale Physique en Ile-de-France (ED 564)

• Project : Machine Learning interatomic potentials from accurate quantum Monte Carlo calculations: application to water solvation - Project leaders : Michele Casula et Vuilleumier Rodolphe
• Project : Nested Metasampling for Material Science - Project leaders :  Martino Trassinelli et Finocchi Fabio

Ecole Doctorale Pierre Louis de santé publique à Paris : épidémiologie et sciences de l'information biomédicale (ED 393)

• Project : Automatisation de l’analyse des causes racines et de l’analyse d’impact des changements avec des applications en santé - Project leaders : Pierre-Yves Boëlle et Assaad Charles

Ecole Doctorale Sciences de l’ingénieur (ED71) de l'UTC

• Project : Generative Deep Learning for Atomistically Engineered Materials : Synergistic Integration of Molecular Dynamics Simulations, Experiments and Data Augmentation - Project leaders : Salim Bouzebda et Alaya Mokjhtar
• Project : Easy Electrospinning - Project leaders : Florian De Vuyst et Baudequin Timothée
• Project : Deep Aneurysm  - Project leaders : Florian De Vuyst et Mortazavi Iraj
• Project : Mathematical and molecular modeling for single-stranded nucleic acids design - Project leaders : GHISLAINE GAYRAUD et MAFFUCCI IRENE
• Projetc : Robust transfer learning, application to deep probabilistic models - Project leaders : Benjamin Quost et Destercke Sébastien

Ecole Doctorale Sciences de l'environnement d'Ile-de-France (ED 129)

• Project : Restitution IA du profil d’ozone à partir de l’instrument IASI Nouvelle Génération - Project leader : Sarah  Safieddine 

Ecole Doctorale Sciences mathématiques de Paris Centre (ED 386)

• Project : Advancing Machine Learning Systems for Temporal Healthcare Data - Project leader : TANUJIT CHAKRABORTY                
• Project : Energy-Based Methods for Interpretable Multimodal Biomedical Decision Making- Project leader: Samuel Feng            
• Project : Improving Algorithmic Fairness with Missing Values - Project leaders : Erwan Scornet et Josse Julie

Ecole Doctorale Sciences mécaniques, acoustique, électronique et robotique de Paris - SMAER (ED 391)

• Project : Towards artist-centered Artificial Intelligence  - Project leader :  Baptiste Caramiaux

Autre Établissement (CNAM) - Ecole Doctorale Sciences des Métiers de l'Ingénieur (SMI - ED 432) 

• Project : Développement d'une peau artificielle pour une perception tactile avancée - Project leader : Iness Ahriz
• Project : Quantization and low complexity implementation of recent neural network architecture - Project leader : Didier Le Ruye et  Zerioul Lounis 
• Project : Enrichissement de graphes de connaissances avec des algorithmes de graphes et d’apprentissage - Project leaders : Cédric du Mouza et Fournier-S'niehotta Raphaël
• Project : Secure Multi-Agent Retrieval-Augmented Generation: Enhancing Cybersecurity in LLM-Driven Agentic AI Systems - Project leaders : Samia Bouzefrane et Fournier-S'niehotta Raphaël
• Project : AI for Local Climate Monitoring and Prediction : Deep Learning for Anomaly Detection and Forecasting  - Project leaders : Samia Bouzefrane, HADID Abdenour et REBIHA Rachid
• Project : Robust self-supervised learning for multimodal data - Project leaders : Arnaud  Breloy et Castillo Navarro Javiera
• Project : AI-aided ROM for nonlinear control of open flow aerodynamics - Project leaders : IRAJ MORTAZAVI et THOME NICOLAS

TO CANDIDATE