Das ist der Job
It researches and realizes electronic and optical components, modules and systems based on compound semiconductors.
Darum lohnt es sich
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. These devices are key enablers that address the needs of today’s society in fields like communication, energy, health, and mobility.
At FBH we excel in the development of laser diodes for a wide range of high‑tech applications. Vertical Cavity Surface Emitting Lasers (VCSEL) are a particular type of laser diode used in data communication and sensing applications, e.g. face recognition, LIDAR and altitude control in satellites.
VCSELs show a characteristic white‑light reflectance response, from which the fundamental operating wavelength can be deduced. Algorithmic extraction of those features is common practice, but very often suffers from hitting edge cases where manual parameter adjustments are required.
The ultimate goal of this master’s thesis is to find a more robust solution based on machine learning (ML).
Reference number 10/26
Your tasks Analyze white‑light reflectance (WLR) measurements and work with the corresponding data Select, review, evaluate, and prepare suitable WLR datasets for use as training data Train a neural network using an ML framework of your choice (preferably Python‑based) <
