Research Associate/
Wissenschaftlicher Mitarbeiterin
Institute of
Remuneration EG 13
Start of employment June 2nd 2025
Application deadline March 31st 2025
Scope full time and fixed term until May 31st 2028
The EU project PATTERN (Marie Skłodowska-Curie ) stands for “European Doctoral Network Enabling Artificial Intelligence for Electromagnetic Compatibility”.
It is funded by the Marie Skłodowska-Curie Actions of the EU and brings together nine academic partners, including TUHH. As part of the project, doctoral training is offered in collaboration with leading European universities and companies. TUHH, as an academic partner, provides doctoral positions within this EU-funded initiative. A key requirement is compliance with the mobility rule, which ensures international diversity by prohibiting applicants from being recruited in their own country. This DC 6 project aims to extend the state of the art in application of methods of machine learning (ML) to the field of electronic computer aided design (ECAD). Specifically, it aims to develop, train, optimize and evaluate ML methods for simulation and optimization of high-speed packages for discrete devices in combination with generating and using an adaptive database. The main objective is to adapt ML methods which model and ultimately replace the existing design process in most steps and hierarchies. This project includes secondments at Nexperia (Germany) and IETR (CNRS, France), with a total duration of 2–4 months, providing practical experience and opportunities for collaboration with academic and industry experts.

NOTICE FOR GRADUATES OF FOREIGN EDUCATIONAL QUALIFICATIONS:

Please submit proof of all obtained university degrees and, if available, the recognition of your educational qualifications in Germany (e.g. anabin excerpts and/or acknowledgement of previous employers)

• Develop and optimize machine learning (ML) models for electronic computer-aided design (ECAD)
• Analyze high-speed package design and integrate ML-driven simulation methods
• Manage and utilize an adaptive database for design process improvements
• Collaborate with academic and industry experts during secondments in Germany and France
• Present findings in technical reports, conferences, and publications