Call for applications | PhD & Postdoctoral positions

• Machine Learning for Computer Simulation, Motonubu Kanagawa
• AI models hybridizing machine learning and argumentation to counter online misinformation and cyberbullying, Charles Bouveyron
• AI for archaeozoology:  learning methods to identify and cluster faunal remains, Marco Corneli
• Online detection of meta-stable states in dynamical systems: a two-sample test based approach, Frederic Cazals
• Development of machine learning methods to identify dynamical asteroid families, Vincent Vandewalle
• Decentralized coordination of intelligent processes to improve the quality of a collection of knowledge graphs, Fabien Gandon
• Deep Latent Variable Models for the Analysis of Massive Heterogenous Data, Charles Bouveyron
• Ensembles of deep generative models, Pierre-Alexandre Mattei

• Novel tensor decompositions for atrial fibrillation analysis, Vicente Zarzoso
• Semantic Modelling within Transformers for Action Detection in Untrimmed Videos, François Bremond
• Analysis of European National Health data to better understand the outcomes of patients with vascular diseases, Juliette Raffort-Lareyre
• Multimodal biomarker extraction for the prediction of lung cancer targeted therapy response, Hervé Delingette

• Real-time surgical assistant for dissection guidance, Nicholas Ayache / François Bremond
• AI-based precision oncology to monitor response of metastatic cancer to immunotherapy using PET/CT imaging, Olivier Humbert

• Online detection of meta-stable states in dynamical systems: a two-sample test based approach, Frederic Cazals
• Identification of molecular patterns to inform about chemical safety, Vincent Vandewalle
• Predicting smell by physiologically inspired deep learning modelsI, Marco Gori

• AI models hybridizing machine learning and argumentation to counter online misinformation and cyberbullying, Charles Bouveyron
• Incentives for Federated Learning, Giovanni Neglia
• Attacks and Defenses against Federated Learning, Melek Önen
• Machine Learning methods for source separation in distributed fiber optic sensing data, Cédric Richard

You are a candidate: here is how to apply

The applicant must send the following documents directly to the Chairholder. The Chairholder is in charge of submitting the application on Easychair by the deadline.

The application is composed by the following mandatory documents:

• Letter of recommendation of the Chairholder proposing the open position.
• Curriculum vitæ of the applicant.
• Motivation Letter of the applicant.
• Academic transcripts of a master’s degree(s) or equivalent of the applicant.
• At least, one letter of recommendation for the applicant.

2025 calendar

• Call 1

• Call 2

• Call 3