Fully Funded Multimodal Foundation Models PhD

Scholar Nexus; Paris; Sur place; EUR 16 000 - 22 000; Plein temps

Avantages offerts par ce poste

Fully funded position

Tuition covered €400/year

Résumé du poste

Télécom Paris, part of Institut Polytechnique de Paris, invites applications for a PhD project on multimodal foundational models for neuroscience. The position is on-site in Paris and fully funded, with a focus on integrating EEG, fMRI, clinical records, and genomic data.

The research emphasizes knowledge-grounded learning using disease-specific graphs and EEG ontologies, enabling interpretable models. Strong computational and ML skills, especially PyTorch, are required, with excellent English.

Qualifications

• Master’s degree in computer science, neuroscience, or related field with strong ML background.
• Proficiency in English (advanced).
• Experience with EEG data processing and multimodal data analysis is preferred.

Responsabilités

• Develop multimodal foundational models integrating EEG, MRI, clinical, and genomic data.
• Incorporate knowledge graphs and ontologies to ground representations.
• Collaborate with large cohorts and ensure generalization across distributions.

Connaissances

Multimodal ML

Python / PyTorch

EEG data processing

MRI/fMRI analysis

Biomedical informatics

Formation

Master's degree in CS or Neuroscience

Outils

PyTorch

Description du poste

Télécom Paris, part of Institut Polytechnique de Paris, invites applications for a PhD project on multimodal foundational models for neuroscience. The position is on-site in Paris and fully funded, with a focus on integrating EEG, fMRI, clinical records, and genomic data.

The research emphasizes knowledge-grounded learning using disease-specific graphs and EEG ontologies, enabling interpretable models. Strong computational and ML skills, especially PyTorch, are required, with excellent English.