PhD in fast multi-scale electromagnetic modeling for RF systems

Are you our next PhD candidate eager to build fast and multi-scale electromagnetic techniques for analyzing state-of-the-art RF applications and systems? Are you interested in making RF system design possible in which even the small details can be readily incorporated into the electromagnetic model for robust performance analysis?

Information
Antenna and RF systems play a pivotal role in society by providing a crucial enabling medical diagnostics, transportation, and communication in the form of MRI applications, automotive radars, and 5G/6G applications, respectively. To meet the ever-increasing demands of society, e.g. wireless data bandwidth, antenna and RF systems are exhibiting a higher degree of complexity in materials, geometries, and length scales. As a result, the design of such systems has become quite a challenge. This becomes even more challenging when considering that the design of these systems hinges on the usage of electromagnetic modeling techniques, which require the full re-evaluation of the model when even a small system change is introduced. As such, there is a clear need for electromagnetic modeling techniques that can support the design of the next generation of antenna and RF systems in a fast and accurate manner.

In the computational Electromagnetics research group (EMPMC lab), we have been pioneering the “Linear Embedding of Green’s Operators” method, which is an in-house domain decomposition method based on integral equations. This electromagnetic modeling technique has shown excellent performance both timewise and precision. However, this technique is not yet applicable for the support of the design of next-generation antenna and RF systems. Consequently, we are looking for a PhD candidate to take up the challenge of extending the capabilities of our in-house domain decomposition method to meet the design requirements of these antenna and RF systems at the heart of medical diagnostics and automotive radar applications.

As PhD candidate, you will extend the in-house domain decomposition method by introducing multi-scale techniques, such that small details can be readily incorporated. This will involve hierarchical modeling strategies. Additionally, you will help in extending the possible material properties within the electromagnetic modeling techniques, such that we can model systems consisting of a wide range of varying materials. These extensions will be employed and tested on actual measurement data as a benchmark.

The project will involve mathematical modeling, construction of numerical methods, coding, testing, numerical simulations, and possibly measurements. You will mainly do your programming work in a mixed programming environment, i.e. combining both high-level and low-level programming languages such as Python for the former and Fortran/C++ for the latter. You will be part of the EMPMC lab, headed by prof. van Beurden, embedded within the broader Electromagnetics group.