FAU
Erlangen, Germany
We seek to appoint a top early career scientist who will develop outstanding expertise in the field. The ideal candidate is an outstanding, highly visible early career scientist with an independent research and teaching profile in the fundamentals of data science, for example, statistical modelling, mathematical foundations of machine learning, modern algorithms for data science, numerical analysis, harmonic analysis, mathematical analysis of large data sets, mathematics of edge computing, information geometry, or statistical manifolds.