PhD position at TU Dresden
The Institute of Mathematical Stochastics at TU Dresden invites applications for a 3-year PhD position (extension possible) to be filled as soon as possible. The position is within the German AI competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial Intelligence).
The successful candidate will take part in research in the following areas: geometric methods and representations in machine learning, in particular with focus on hyperbolic geometry, embedding methods for graphs and networks, supervised learning in non-Euclidean settings, embedding and learning for data under hierarchical and relational constraints, theoretical guarantees and error bounds for geometric embedding methods, prediction and inference of contagion and diffusion processes in non-Euclidean geometry.
Requirements are a very good university degree in mathematics or in computer science and closely related fields with strong theoretical/methodological focus; curiosity and strong interest in rigorous, methodical fundamental research; very good programming skills, preferable in Python; very good command of written and spoken English. Prior knowledge in linear algebra, mathematical geometry, stochastics and optimization is preferable.
Details can also be found in the official vacancy text: https://www.verw.tu-dresden.de/StellAus/stelle.asp?id=9603 (German version)
https://www.verw.tu-dresden.de/StellAus/stelle.asp?id=9603&lang=en (English version)
For further inquiries concerning the position please contact Martin Keller-Ressel (email@example.com).
Please feel free to forward this information to any potential candidates.