We advertise an attractive fully funded PhD position within DAEDALUS, a new PhD program within the Berlin research landscape. The project is dedicated to recovering dynamical laws from data, within the sub-project "P3: multi-scale sparsity models" of DAEDALUS.

At the heart of this interdisciplinary project located at the intersection of mathematics and physics are questions of how differential equations capturing dynamical laws can be reliably learned from data alone - both in the classical and in the quantum setting. To avoid the "curse of dimensionality" in case of high-dimensional configuration spaces, ideas of hierarchical structures, sparsity, tensor network structures and possibly ideas of machine learning will feature strongly. The developed methods will be applied both to biological data as well as ones arising in quantum system identification in the quantum information context.

This project will be jointly supervised by Jens Eisert (Dahlem Center for Complex Quantum Systems, FU Berlin) and Christof Schütte (Mathematics, FU Berlin, and Zuse Center).

The position is funded by a full position on the German pay scale (TVL 13, 100%). Notice the unusually tight DEADLINE due to constraints within the DAEDALUS program: If you require a deadline extension, please send a line. Please apply directly on the DAEDALUS web page.