Surrogate models are fast-running approximations of complex time-consuming computer simulations. Surrogate models are also known as response surface models (RSM), metamodels or emulators. They mimic the complex behavior of the underlying simulation model. They bridge the gap between the numerical or experimental, and the analytical.
Surrogate models are used for parametric studies, optimization, design-space exploration, visualization, prototyping and sensitivity analysis.
Application areas include bioinformatics, operations research, network simulation, Electronic Design Automation (EDA), ecological modelling, and many others.
Open positions - We are always looking for highly motivated PhD candidates or post-docs, in sciences and in engineering, that have a strong interest in one of our research topics.
Our research area is highly multidisciplinary, and requires strong mathematical, physical and computer science knowledge.