About the project: The project addresses a broad spectrum in optimal control of PDEs and focusses on some of the most pressing topics: High dimensional Hamilton Jacobi Bellman equations arising in feedback control, non-smooth, and possibly non-convex optimal control and related computational techniques. The use of optimal control techniques for deep learning can be another focus point for the future collaborator’s research.
Professional qualifications: Doctoral degree in a mathematical branch of study. Solid knowledge in applied mathematics, including PDEs, with specialization in either analytical or computational techniques. Experience in the numerical treatment of high-dimensional partial differential equations is especially welcome. Alternatively, specialization in optimal control, calculus of variations, or optimization is highly appreciated.
Prof. Karl Kunisch, University of Graz and Radon Institute, Austrian Academy of Sciences
Applications with a detailed CV including a publication list and a compact statement of previous achievements and research interests should be sent to: firstname.lastname@example.org.