Geometric deep learning CentraleSupélec, Inria Saclay, Université Paris-Saclay, Télécom Paris, and Institut Polytechnique de Paris in France

The internship recruitment season has started! We are pleased to announce several internship positions in the broader field of geometric deep learning, available at CentraleSupélec, Inria Saclay, Université Paris-Saclay, Télécom Paris, and Institut Polytechnique de Paris. Some opportunities will potentially lead to PhD positions.Research Theme: Geometric deep learningKeywords: Graph representation learning, graph neural networks, graph generative models, simplicial complexes, simplicial neural networks, biomedical applicationsAdvisors: Fragkiskos Malliaros and Jhony H. GiraldoStarting Date and Duration: 5-6 months starting in Spring 2025 (March/April)Candidate Profile: We are looking for candidates currently pursuing an M2 in engineering, data science, computer science, applied mathematics, statistics, or equivalent, with a strong background in machine learning, deep learning, and interest in working in geometric deep learning. Candidates should have strong programming skills in Python (including PyTorch), a genuine interest in understanding the mathematics behind geometric deep learning, and good communication skills.How to Apply: Please send your application material (in PDF format; in English) by email to Fragkiskos Malliaros and Jhony H. Giraldo, including a full CV, a motivation letter explaining your interest in the position (max 1 page), and your transcript of records (grades). Applications will be reviewed on a rolling basis until the positions are filled.For a more detailed description, please see the attached document. We would be grateful if you could reshare this advertisement with your network. A simple reshare will be greatly appreciated.We look forward to receiving your applications!hashtag#GeometricDeepLearning hashtag#Internship hashtag#GraphNeuralNetworks hashtag#SimplicialNeuralNetworks hashtag#BiomedicalApplications hashtag#PhDOpportunities…more