We are very happy to be starting the joint project GraphPCBS together with Intelligent Embedded Systems | Universität Kassel and CELUS.

Together we will use Graph Neural Networks to automatically optimize the schematic design of printed circuit boards. Until now, the optimization takes a a lot of time even for an experienced engineer, resulting in either high costs or not fully optimized circuits and thus electronic products more vulnerable to failure and a short life-time. In this project we combine forces in the fields of deep learning on graphs and electronic engineering to solve this problem.
If you would like to help us in doing so, we are looking for a new colleague to be part of the project. For more information and on how to apply, please have a look here. https://stellen.uni-kassel.de/jobposting/6e23d72336ffaaa15ebb24a6178c8043b4a613dd0 .

A big thank you to Björn Mamat and ifectis Innovationsförderung for the help in writing the proposal!