We are looking for an individual who is internationally recognized in the field of data-driven numerical methods for partial differential equations. Areas of work include the development and analysis of deep learning methods for high-dimensional PDE problems, of deep operator networks for learning the data-to-solution map of PDEs, of physics-informed neural networks or of data-driven optimization tasks with PDE constraints.