New Professor of Data-Driven Simulation and Analysis in Materials Science at Saarland University

The following text has been machine translated from the German with no human editing.

With his focus on large language models and their application in materials science in particular, Roland Aydin will strengthen data-driven research at the Faculty of Natural Sciences and Technology at Saarland University. In addition, he will serve as a bridge professor and head of research at the German Research Center for Artificial Intelligence (DFKI).

'We are currently experiencing an exceptionally rapid and profound transformation that is affecting science, business and society alike,' says Professor Roland Aydin. 'Technologies such as large language models are fundamentally changing how knowledge is generated, communicated and used. I am particularly interested in how these developments can be taken up in the natural sciences and engineering, and how we can prepare students to actively shape these changes.'

Short biography

Roland Aydin studied Computer Science at the Technical University of Munich and the Georgia Institute of Technology (USA) as well as medicine at Ludwig Maximilian University in Munich. Among other things, he worked as an academic research associate at the Chair of Numerical Mechanics at the Technical University of Munich ( ) and as the head of department at the Helmholtz Centre Hereon. Most recently, he held a Chair of Machine Learning in virtual materials design at the Technical University of Hamburg. His work is at the interface of artificial intelligence and data-driven methods in the natural and engineering sciences. Roland Aydin will take up his professorship at Saarland University on 1 April.