Computational Electromagnetics

The research group “Computational Electromagnetics” focuses on the numerical modeling of electromagnetic problems in electrical engineering, physics, and biology: we are interested in predicting the propagation, radiation, and scattering of electromagnetic waves in complex, multi-scale media and multi-physics scenarios. Such predictions are required by engineers for prototyping novel devices (e.g., for antenna diagnosis and design or for on-chip and on-package interconnects analysis) or by researchers for the design and the validation of their experiments. Especially biomedical experiments are too hazardous and too costly to carry them out without any prior numerical study.

What makes numerical studies challenging is that devices and experiments become increasingly more intricate: wideband simulations, electrically large geometries, multi-scale problems (in both space and time) overall resulting billions of unknowns. This prohibits the use of standard software.

To tackle such problems, we work on fast, stable, and accurate algorithms that allow for an efficient solution in spite of these challenges, solutions that advance the state of the art in computational electromagnetics. In interdisciplinary projects with colleagues from mechanical engineering, medicine, and physics, we apply and validate our algorithms.

You are student interested in this thrilling field? Do not hesitate to get in touch with me for a project or thesis (BSc., M.Sc., PhD). Please describe in your email what aspects of computational electromagnetics (e.g., programming/high performance computing, numerical analysis) your are particular keen to work on and I will discuss possible topics with you.


You should study electrical engineering, mathematics, physics, computer science, or a related discipline. Given that computational electromagnetics is situated at the intersection between applied mathematics, high performance computing, physics, and electrical engineering, you should have a solid background in mathematics, physics, and programming (though I do not expect that you are equally strong in all those fields). Above all, however, you should be curious, open minded, and – if you are interested in a master or PhD thesis – genuinely enthusiastic about research.