Master thesis: Automated measurements optimization

The Ferdinand-Braun-Institut, Leibniz-Institut für Höchstfrequenztechnik (FBH) is an application-oriented research institute in the fields of high-frequency electronics, photonics and quantum physics. It researches and realizes electronic and optical components, modules and systems based on compound semiconductors. These devices are key enablers that address the needs of today’s society in fields like communication, energy, health, and mobility.

The focus in the RF Power Lab is on applications with output powers in the range of 5...200 W in the microwave range up to 40 GHz. We work on novel concepts to increase efficiency in broadband modulated power amplifier systems for modern telecommunication and signals with high peak-to-average power ratios. In particular, we investigate dual-input amplifier systems based on load & supply-voltage modulationand how to use them in AI-controlled intelligent self-tunable systems. Integrated reconfigurable components and circuits are also in focus and more advanced integrated transceivers for radar and telecom. In addition, we develop novel autonomous RF measurement systems for improved RF power transistor characterization and the optimization of such devices based on machine learning.

Reference number 08/26

Your tasks:

• Assessment and analysis of GaN technology characterization data
• Identification of outliers during testing, with and without machine learning methodologie
• Post-Measurements data optimization, data filtering
• Addition of data informed choices in the automated measurements (Co-Development of a decision tree
• Adapting live measurement library and electrical measurements to optical data connection
• Organization of single wafer pictures into wafer-wide live updating optical maps
• Connection of optical imaging to electrical measurements

Your profile:

• On-going master studies in Data Science, Database Systems and Information Management, Computer Science, Physics or Applied Mathematics
• Knowledge of signal processing, Data analysis and Data handling
• Interest in applied mathematics, RF electronics and applied engineering
• Experience in Matlab and/or Python
• Starting date: a.s.a.p.

Our offer:

• an open and appreciative international team, always available with help and advice
• a modern workplace in Berlin Adlershof with good public transport connections
• exciting insights into practical applications and the opportunity to gain valuable experience

Does it sound interesting? Then we look forward to receiving your online application. To apply, please click on "Apply online" and submit your complete application documents by September 15, 2026.

If you have questions, please contact Dr. Olof Bengtsson, Tel.: 030 6392-2643, E-Mail: olof.bengtsson@fbh-berlin.de.

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