Michael Schaub Joins RWTH's Computer Science Department

The assistant professor's research group will be funded by NRW’s Returning Scholars Program

 

Michael Schaub is currently establishing a junior research group in Computational Network Science at RWTH’s Computer Science Department. The tenure-track assistant professor’s research proposal, entitled "Learning from Networks with Unobserved Edges," convinced the selection committee of North Rhine Westphalia’s Returning Scholars Program.

As a result, Schaub’s group is set to receive funding of 1.25 million euros over the next five years. The program, launched in 2007, aims to attract German researchers who are residing and undertaking research abroad to North Rhine-Westphalia. Successful candidates receive support to set up a research group at a North Rhine-Westphalian university of their choice.

Schaub studied Electrical Engineering and Information Technology at ETH Zurich; in 2014, he obtained his doctorate in Mathematics from Imperial College London. Subsequently, he undertook postdoctoral research at Université catholique de Louvain and Université de Namur, the Massachusetts Institute of Technology, and the University of Oxford.

At RWTH, Schaub’s key research area is the analysis of complex systems and networks. His research combines ‘bottom-up’ dynamical models and ‘top-down’ data-driven approaches, and uses a blend of tools from control theory, dynamical systems, stochastic processes, machine learning, and statistics.