Research Associate/
Wissenschaftliche*r Mitarbeiter*in

Institute of Theoretical Electrical Engineering
Remuneration EG 13  TV-L 
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 project) 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.

YOUR TASKS

• 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
  

YOUR PROFILE

Requirements

• Completed scientific university studies, required background in Electrical Engineering or Physics or Data Science
  

Required knowledge and personal skills

• Experience with machine learning techniques and their application in simulation and optimization
  
• Basic knowledge of electromagnetics and electromagnetic compatibility (EMC)
  
• Desirable with database management and adaptive database systems
• Desirable to work collaboratively in interdisciplinary teams and communicate technical results effectively
  

Recruited researchers must comply the following mobility rule:
they must not have resided or carried out their main activity (work, studies, etc.) in the country of the recruiting beneficiary for more than 12 months in the 36 months immediately before their recruitment date.

OUR OFFER

• a job in an interesting, friendly and appreciative working environment
  
• intensive induction/ onboarding
  
• possibility of mobile working
  
• 30 day vacation per year
• good public transport connections
• special conditions in further gyms
  

At the heart of TU Hamburg’s research, teaching and transfer of technology is the guiding principle of developing technology for people. The TU Hamburg sees itself in this context as a family-friendly and sustainable university with high performance and quality standards that strives for excellence in all its research fields. Interdisciplinarity, innovation, regionality and internationality are binding principles in our actions.

With currently around 8.000 students, 110 professors and 1.650 employees, the TU Hamburg is characterised by short decision-making processes and close cooperation between the board, the institutes, the deans of studies, the research areas and the administration. We identify ourselves with a modern leadership culture and cultivate appreciative interaction.

For further information please contact Prof. Dr. Christian Schuster, Tel.-Nr. +49 40 428 78 31 16, Email: schuster@tuhh.de