06.03.2025

European Doctoral Network

Enabling Artificial Intelligence for Electromagnetic Compatibility - PATTERN

The TU Hamburg congratulates Prof. Christian Schuster and Prof. Matthias Mnich and their teams on establishing a Horizon Europe Marie Skłodowska-Curie Doctoral Network. The TU Hamburg is very pleased to announce the launch of a European Doctoral Network supported by the Marie Skłodowska-Curie Actions (MSCA). The network, entitled “Enabling Artificial Intelligence for Electromagnetic Compatibility - PATTERN”, is led at the TUHH by Prof. Christian Schuster, head of the Institute of Electromagnetic Theory, and Prof. Matthias Mnich, head of the Institute for Algorithms and Complexity. MSCA is the European Union's leading funding program for doctoral training and postdoctoral training of researchers.

Coordinated by the Eindhoven University of Technology, the MSCA doctoral network PATTERN brings together expertise from the disciplines of artificial intelligence (AI), electromagnetic compatibility (EMC), medical technology, risk management and sustainability management. The aim is to provide doctoral students with the knowledge to apply AI in the design of medical electronic devices. It brings together expertise from nine universities in seven European countries, together with 11 associated partners that cover the value chain of the application. PATTERN offers a total of 16 PhD positions, 15 of which are funded by the European Union. Besides training a diverse group of young researchers in the emerging field of AI-assisted engineering for key areas of electronics, PATTERN will achieve scientific results in the field of applied AI, build a network between leading European universities and industries in the MedTech sector, and contribute to society by developing safe, reliable, and sustainable medical devices for all.

The two PhD projects at the TU Hamburg will focus on the creation of an adaptive database in combination with machine learning methods and will investigate the trade-off between the use of physics- and data-based approaches to EMC prediction.

Prof. Schuster: “AI and in particular machine learning are becoming important players in the development of future electronic and electrical components and systems. In this project, we will strive to enable AI for the electromagnetic compatibility of medical devices and thus contribute to safe and sustainable product development.”

Prof. Mnich: “AI-based machine learning algorithms and methods can accelerate simulations of electromagnetic fields, which are crucial for understanding and predicting EMC. The algorithms we will develop in this project will therefore significantly optimize and accelerate the design process for medical products that are safe for use on humans.”

Prof. Dr.-Ing. Timm-Giel, President of the TU Hamburg: “The Hamburg Unversity of Technology congratulates all participants on their success in this program. The applicants face very tough competition in the MSCA, so the result is all the more significant. The TU Hamburg is advancing its European networking with important scientific partners. The TU Hamburg's forward-looking research fields are outstanding docking points for promoting areas of excellence. This program is a further building block in this process.”

About the funding

The Marie Skłodowska-Curie Actions are the European Union's reference program for doctoral and postdoctoral training. The Doctoral Networks are designed to train a new generation of creative, entrepreneurial and innovative researchers through a doctoral program delivered by a partnership of organizations from different sectors across Europe and beyond. They have a prestigious reputation, as evidenced by the fact that 18 Nobel Prize winners have received support and funding through the MSCA.

More Information

Contact

Prof. Dr. sc. techn. Christian Schuster
Institut für Theoretische Elektrotechnik
Hamburg University of Technology (TUHH)
Blohmstr. 15, 21079 Hamburg, Germany
schuster[at]tuhh(dot)de