Call for applications | PhD & Postdoctoral positions

• Deep Latent Variable Models for the Analysis of Massive Heterogenous Data, Charles Bouveyron

• Novel tensor decompositions for atrial fibrillation analysis, Vicente Zarzoso
• Multimodal biomarker extraction for the prediction of lung cancer targeted therapy response, Hervé Delingette

• AI-based precision oncology to monitor response of metastatic cancer to immunotherapy using PET/CT imaging, Olivier Humbert
• Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical Planning in Trauma Surgery, Marc-Olivier Gauci
• Creation of the Digital Twin of the Operating Room (OR-Twin), Marc-Olivier Gauci

• Diffusion model for super-resolution fluorescent microscopy inverse, Laure Blanc-Féraud
• Active Forgetting Across Brains and Models: Neuro-Computational Insights, Emanuele Natale

• Incentives for Federated Learning, Giovanni Neglia
• Machine Learning methods for source separation in distributed fiber optic sensing data, Cédric Richard
• Attacks and Defenses against Federated Learning, Melek Önen
• Online change-points and events detection for dynamic structured data, Cédric Richard
• Mesh-based Shape Approximation with Guaranteed Progress Toward Global Optima, Pierre Alliez
• Hybrid AI for sensor-based robot control, Ezio Malis

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 (new link to come).

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.

• Call 2

• Call 3

• 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
• Deep Latent Variable Models for the Analysis of Massive Heterogenous Data, Charles Bouveyron
• Analysis of multi-parameter Reeb spaces and Mappers, Mathieu Carrière
• Adaptive methods for safe machine learning, Samuel Vaiter
• Phase Transitions in Artificial Neural Networks, Emanuele Natale

• Novel tensor decompositions for atrial fibrillation analysis, Vicente Zarzoso
• Multimodal biomarker extraction for the prediction of lung cancer targeted therapy response, Hervé Delingette

• AI-based precision oncology to monitor response of metastatic cancer to immunotherapy using PET/CT imaging, Olivier Humbert

• Trainable quantization of graded spiking neural networks for streaming event-based processing on neuromorphic hardware, Benoît Miramond

• Incentives for Federated Learning, Giovanni Neglia
• Machine Learning methods for source separation in distributed fiber optic sensing data, Cédric Richard
• Attacks and Defenses against Federated Learning, Melek Önen
• TableMind: Scalable Inference-Time Strategies for Structured Data Reasoning, Paolo Papotti
• Online change-points and events detection for dynamic structured 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 (new link to come).

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