PhD in Mathematics of Neural Networks and Operators for PDEs Université Claude Bernard Lyon 1 in France

PhD opportunity in Mathematics of Neural Networks and Operators for PDEs at Institut Camille Jordan, Université Claude Bernard Lyon 1 in Lyon, France.

The project sits at the intersection of partial differential equations, numerical analysis, approximation theory, machine learning for scientific computing, and the mathematical foundations of neural operators. Research topics include neural operators for linear and nonlinear PDEs, preconditioning and eigenvalue problems, and the design, analysis, and implementation of neural operator surrogates.

This is a fully funded PhD position with a starting date between October and December 2026.

Applicants should have a Master’s degree in Mathematics or a closely related field, a strong background in numerical analysis and PDEs, interest in the mathematics of machine learning, and programming experience in Python (with PyTorch or JAX as a plus).

To apply, send a CV including reference contacts, academic transcripts, and a brief statement of research interests and relevant experience to [email protected]. The deadline is 15 June 2026.