Jan Schlüter

Jan Schlüter is an Assistant Professor at the Institute of Computational Perception, Johannes Kepler University Linz. His research focuses on deep learning, acoustic sequence labeling, and audio signal processing. He has held academic positions including University Assistant at JKU, postdoctoral researcher at the University of Toulon, and research roles at the Austrian Research Institute for Artificial Intelligence (OFAI). Schlüter holds a PhD in Informatics from JKU and advanced degrees from TU Munich and the University of Hamburg.

Education:

• PhD in Informatics, Johannes Kepler University Linz (2017)
• Master of Science in Informatics, Technical University Munich (2011)
• Bachelor of Science in Informatics, University of Hamburg (2008)

Schlüter's research interests include convolutional neural networks, weakly-labeled learning, and differentiable time-frequency representations. He contributes to projects involving birdcall monitoring, music structure analysis, and environmental acoustics. Teaching responsibilities include courses on audio processing, machine learning, and artificial intelligence.

His work bridges theoretical advancements in deep learning with practical applications in audio analysis, environmental monitoring, and music informatics. Notable contributions include the madmom Python library for audio and music processing.