Master's thesis "Representation Learning for Solar Cell Production Analytics"
Fraunhofer Institute for Photonic Microsystems IPMS
Freiburg, Germany
Internship Explorer
Internship Explorer
In the master's thesis "Exploring latent spaces of deep networks for fault analysis in solar cells," you analyze relationships in solar cell manufacturing using state-of-the-art representation learning methods and classical statistical analysis techniques. To support our group "Computer Vision and Machine Learning," we are looking for a student assistant to start as soon as possible, with the opportunity to write a master's thesis, for the following tasks: * You develop AI models to derive meaningful representations from complex data. * You identify connections between production data and measurement data. * You evaluate various statistical analysis methods. * You work with real data and handle outliers and pitfalls. * You regularly interact with colleagues and present your results.
